dissertation summary and conclusion

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How to write an excellent thesis conclusion [with examples]

Restate the thesis

Review or reiterate key points of your work, explain why your work is relevant, a take-away for the reader, more resources on writing thesis conclusions, frequently asked questions about writing an excellent thesis conclusion, related articles.

At this point in your writing, you have most likely finished your introduction and the body of your thesis, dissertation, or research paper . While this is a reason to celebrate, you should not underestimate the importance of your conclusion. The conclusion is the last thing that your reader will see, so it should be memorable.

A good conclusion will review the key points of the thesis and explain to the reader why the information is relevant, applicable, or related to the world as a whole. Make sure to dedicate enough of your writing time to the conclusion and do not put it off until the very last minute.

This article provides an effective technique for writing a conclusion adapted from Erika Eby’s The College Student's Guide to Writing a Good Research Paper: 101 Easy Tips & Tricks to Make Your Work Stand Out .

While the thesis introduction starts out with broad statements about the topic, and then narrows it down to the thesis statement , a thesis conclusion does the same in the opposite order.

Restate the thesis.
Review or reiterate key points of your work.
Explain why your work is relevant.
Include a core take-away message for the reader.

Tip: Don’t just copy and paste your thesis into your conclusion. Restate it in different words.

The best way to start a conclusion is simply by restating the thesis statement. That does not mean just copying and pasting it from the introduction, but putting it into different words.

You will need to change the structure and wording of it to avoid sounding repetitive. Also, be firm in your conclusion just as you were in the introduction. Try to avoid sounding apologetic by using phrases like "This paper has tried to show..."

The conclusion should address all the same parts as the thesis while making it clear that the reader has reached the end. You are telling the reader that your research is finished and what your findings are.

I have argued throughout this work that the point of critical mass for biopolitical immunity occurred during the Romantic period because of that era's unique combination of post-revolutionary politics and innovations in smallpox prevention. In particular, I demonstrated that the French Revolution and the discovery of vaccination in the 1790s triggered a reconsideration of the relationship between bodies and the state.

Tip: Try to reiterate points from your introduction in your thesis conclusion.

The next step is to review the main points of the thesis as a whole. Look back at the body of of your project and make a note of the key ideas. You can reword these ideas the same way you reworded your thesis statement and then incorporate that into the conclusion.

You can also repeat striking quotations or statistics, but do not use more than two. As the conclusion represents your own closing thoughts on the topic , it should mainly consist of your own words.

In addition, conclusions can contain recommendations to the reader or relevant questions that further the thesis. You should ask yourself:

What you would ideally like to see your readers do in reaction to your paper?
Do you want them to take a certain action or investigate further?
Is there a bigger issue that your paper wants to draw attention to?

Also, try to reference your introduction in your conclusion. You have already taken a first step by restating your thesis. Now, check whether there are other key words, phrases or ideas that are mentioned in your introduction that fit into your conclusion. Connecting the introduction to the conclusion in this way will help readers feel satisfied.

I explored how Mary Wollstonecraft, in both her fiction and political writings, envisions an ideal medico-political state, and how other writers like William Wordsworth and Mary Shelley increasingly imagined the body politic literally, as an incorporated political collective made up of bodies whose immunity to political and medical ills was essential to a healthy state.

Tip: Make sure to explain why your thesis is relevant to your field of research.

Although you can encourage readers to question their opinions and reflect on your topic, do not leave loose ends. You should provide a sense of resolution and make sure your conclusion wraps up your argument. Make sure you explain why your thesis is relevant to your field of research and how your research intervenes within, or substantially revises, existing scholarly debates.

This project challenged conventional ideas about the relationship among Romanticism, medicine, and politics by reading the unfolding of Romantic literature and biopolitical immunity as mutual, co-productive processes. In doing so, this thesis revises the ways in which biopolitics has been theorized by insisting on the inherent connections between Romantic literature and the forms of biopower that characterize early modernity.

Tip: If you began your thesis with an anecdote or historical example, you may want to return to that in your conclusion.

End your conclusion with something memorable, such as:

a call to action
a recommendation
a gesture towards future research
a brief explanation of how the problem or idea you covered remains relevant

Ultimately, you want readers to feel more informed, or ready to act, as they read your conclusion.

Yet, the Romantic period is only the beginning of modern thought on immunity and biopolitics. Victorian writers, doctors, and politicians upheld the Romantic idea that a "healthy state" was a literal condition that could be achieved by combining politics and medicine, but augmented that idea through legislation and widespread public health measures. While many nineteenth-century efforts to improve citizens' health were successful, the fight against disease ultimately changed course in the twentieth century as global immunological threats such as SARS occupied public consciousness. Indeed, as subsequent public health events make apparent, biopolitical immunity persists as a viable concept for thinking about the relationship between medicine and politics in modernity.

Need more advice? Read our 5 additional tips on how to write a good thesis conclusion.

The conclusion is the last thing that your reader will see, so it should be memorable. To write a great thesis conclusion you should:

The basic content of a conclusion is to review the main points from the paper. This part represents your own closing thoughts on the topic. It should mainly consist of the outcome of the research in your own words.

The length of the conclusion will depend on the length of the whole thesis. Usually, a conclusion should be around 5-7% of the overall word count.

End your conclusion with something memorable, such as a question, warning, or call to action. Depending on the topic, you can also end with a recommendation.

In Open Access: Theses and Dissertations you can find thousands of completed works. Take a look at any of the theses or dissertations for real-life examples of conclusions that were already approved.

How it works

How to Write a Dissertation Conclusion – Example & Tips

Published by Jamie Walker at August 13th, 2021 , Revised On August 22, 2023

It is imperative for students to understand how to write a dissertation conclusion in order to achieve the highest grade in their dissertation project.

The concluding chapter of the dissertation should be appealing to the readers and give an accurate but concise review of what your research revolves around with special emphasis on the outcomes and recommendations that you have derived from your research study.

The illustration below provides an insight into how a first-class dissertation is structured , and we will now look in complete detail over how to manage the conclusion chapter of your dissertation.

The conclusion of a dissertation or thesis generally connects the beginning of your research ( introduction , research problem , research questions ) to the findings and implications of your research.

You must relate to the major findings of your research and answer the research questions that your study raised. There is no need to hesitate to state the limitations of research because it is natural that your research will have some limitations rather than none.

Writing a dissertation conclusion is, perhaps, the most critical aspect of your research work which is why it is vitally important to not miss out on the key elements surrounding a great dissertation conclusion.

Dissertation Conclusion Guidelines

Dissertation conclusion is a core element of your dissertation or thesis paper which is why you will be required to follow a specific set of guidelines in order to showcase the findings of your study in a logical manner.

How to Start a Dissertation Conclusion

Always write your conclusion in clear and simple language. Before starting to write the conclusion chapter, it is important that students become familiar with the assessment criteria and expected outcomes in order to avoid complexities at a later stage.

The aim of a dissertation conclusion is to provide a brief overview of the main research work so the readers can figure out how your research study will add value to the existing literature.

Moreover, recommendations for future research and practitioners should also be provided in this section.

Difference between Conclusion & Discussion

The contents of the discussion and conclusion chapters are similar, and they are typically grouped together in journal articles and scientific papers.

Depending on your academic institute and the subject of your degree program, you could be asked to put discussion and conclusion together under the same chapter in your dissertation or thesis paper.

However, typically in a dissertation or thesis paper , it is common to have a separate chapter for the conclusion to briefly state answers for all research questions, and summarise and reflect on the research.

The conclusion chapter is considerably shorter in length than the discussion. Here you will be expected to provide general statements to give readers a final impression of your research.

On the other hand, in the discussion chapter of a dissertation , the author states the major findings, and their interpretations and implications.

Do not introduce any new information, arguments, meanings, and interpretations in the conclusion chapter.

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What to Write in a Conclusion

An important question that one must address before writing a dissertation conclusion is what to write in a conclusion?

In the best case scenario, you will summarise the findings of your entire research in a comprehensive manner, but at the same time ensure that you are not just restating the points covered in the main body.

The purpose here is to present a synthesis of the major points covered which is why it is advised not to include any new ideas relating to your research at this point.

Methodology in a dissertation can be a taxing and time consuming matter because a large chunk of your research is based on the methods you have adopted.

Essentially, the methodology should relate to the literature you have reviewed and provide academic justification to your choice of research methods – be it quantitative, qualitative or a mix of both.

Students must make sure that they shed adequate light on the methodology part in their dissertation conclusion.

It is essential to keep the dissertation conclusion concise and to the point rather than going into unnecessary details which would rather be a part of the main body.

Writing a dissertation conclusion is not a strenuous task if you stick to the fact that your goal here is to provide insight, evaluations and implications of your research study.

Structuring a Dissertation Conclusion

While writing a dissertation conclusion, you must be particular about the fact that it gives reflection of a cohesive argument and supports the points you have covered in the main body.

Your conclusion should depict the importance of why you chose this specific research topic and the impact your study will have on the society.

Providing solutions to the problems you have identified and predicting what might happen in the near future leaves a very good impression on the readers, and some of them might well be inclined to consider your argument long after.

When pondering over how to write a dissertation conclusion, it is important to relate your ideas with academics who are closely followed by your supervisor.

Although the dissertation belongs to you and you have the full right to express your own views where appropriate, there is absolutely no harm in slightly aligning your views with other researchers in order to achieve a good score.

Dissertation Conclusion Limitations

Every dissertation is likely to suffer from limitations which is precisely the reason why students must acknowledge and appropriately address them.

Limitations is an integral part of your dissertation conclusion because it will also help your readers to understand your research design and philosophical approach .

This brief segment reflects upon the importance of the inherent limitations been identified; the reasons behind your choice of methods; and possible ways to counter the limitations.

It is recommended never to hide the limitations associated with your research, because your tutor will probably have years of experience with different methods of research and they will figure out these limitations even if you have not specifically discussed them.

Simply highlighting the dissertation limitations is not a very good idea because every research limitation must accompany ways in which it can be combated. Dissertation limitations can be methodological or conceptual.

It is necessary to briefly touch upon both types of limitations so your supervisor can figure out what part of your research was stalled by lack of data, cultural biases, sampling etc.

This section of the dissertation conclusion chapter is generally based on a world count – 200-500 words so it is appropriate to discuss only the most significant limitations of your study.

Dissertation Conclusion Length

Another important question that you might want to address in the final phase of your research work is how long should dissertation conclusion be? The length of a dissertation conclusion is in direct correlation with the length of the full dissertation paper.

On a simple basis the longer or more detailed your research is, the longer the conclusion it will have, and vice versa. The length will often depend on the writer’s personal judgement and making a call on such a matter might well turn out to be the difference between an ordinary and professional dissertation writer.

The length of a dissertation conclusion chapter is generally 5-7% of the total dissertation word count.

Addressing Research Questions in Dissertation Conclusion

Make sure that you start your conclusion chapter by directly addressing the research questions or the research problem that your dissertation or thesis intended to address.

Conclusion chapter gives you the final chance to demonstrate to your readers that your research achieved what was aimed at the beginning of the research.

Provide a clear, concise and to the point answer to your research questions. You are not expected to repeat what you have already said in the discussion part of the paper, rather turn readers’ attentions towards a final outcome.

Dissertation Conclusion Example

No matter how much you dig into the details of writing a conclusion for your dissertation, it is always nice to have a look at a full-fledged example for guidance purposes. The graphic below gives a summarised view of what is to be written in a dissertation conclusion.

Here is an example of how to write a dissertation conclusion to help you better understand.

How to Write Dissertation Conclusion Example

Here is a dissertation conclusion example of a dissertation that aimed to test a theoretical argument based on an analysis of a case study; Proposed anaerobic digestion plant in Tripoli.

Chapter 5 – Dissertation Conclusion 5.1 Background This chapter highlights the crux of the study by briefly describing objectives and literature survey. The feasibility of the proposed plant is then discussed, leading to the study’s limitations and difficulties. In the end, some recommendations for future work are provided in brief. Some suggestions to improve and highlight the renewable energy generation techniques are also part of the chapter. 5.2 Literature Review, Survey and Interviews A Valora process AD plant, with a capacity of 0.8 tones of food waste per day, is proposed to be established in the city of Tripoli. This plant can assist the national grid in meeting the rising demands of electricity in Tripoli and on the outskirts. Public opinion about establishing such a plant is taken by conducting a survey. The survey results suggest that the people of Tripoli understand the need for a WTE plant and ensure their cooperation for the separate household food waste if provided with the containers by the municipal authorities. The food waste to energy generation plant provides a solution for both household food waste management in Tripoli and generating an adequate amount of electricity to meet the rising demand. An informal session of interviews has been conducted with the experts from the Energy Agency of Libya. The opinion and observation-based data collection are done in order to opt for the interpretive approach of research adequately. All five respondents recommended the idea of establishing an AD plant in Tripoli-Libya. Their comments and suggestions have also validated the plant location selected in the research as an appropriate location for establishing a plant. The idea of energy generation using sustainable methods is the main point they’ve endorsed. The research provides the solution for both; waste management in Tripoli and the introduction of sustainable energy generation methods in Libya. 5.3 Feasibility of the Proposed System A detailed, feasibly study was conducted, including technical details such as the amount of biogas generation, plant type, equipment sizing, and proposed location for the plant. Initial finances, operation and management costs of the proposed AD plant are estimated in the financial analysis of the proposed plant. Life cycle assessment is compared with food waste management to evaluate the environmental effects of the plant. The analysis suggests that the proposed AD plant is economically, technically and ecologically feasible to establish on 3rd Ring Road in Tripoli. 5.4 Limitations and Difficulties Some of the limitations and difficulties involved in the process of digestion or establishing a digestion plant are listed as follows; 1. Since many WTE technologies are designed to handle mixed-type food waste such as solid waste and municipal waste etc. Running the plant with specifically food waste is difficult as food waste makes comparatively less amount than MSW as a whole. 2. Some other WTE challenges include high capital cost, waste-gas cleanup, regulatory hurdles, and conversion efficiency. 3. Since domestic utilization of generated electricity is a primary objective, and it adds a limitation where even distribution of electricity distribution in domestic buildings is not possible if the plant is located outside the residential area. This issue can be resolved by centralizing a substation for the proper transmission and distribution. 4. Since the accuracy of the estimated analysis depends entirely on the data, and missing fields affect the accuracy of the estimations. 5. Since the survey is conducted among non-technical people and represents their views, no primary data is available that accurately estimates the energy generation from the amount of food or biogas generation. The calculations of estimation of biogas yield and energy generation are based on the equations taken from secondary resources thus can be erroneous. 5.5 Future Work This study is conducted to evaluate the effectiveness of establishing a large-scale plant to provide an alternative and renewable energy solution. The whole idea is applicable and implementable in the proposed area. Instead, in the future, the idea can be evaluated for the individual high-rise buildings to make them self-sufficient in energy demand and supply and to reduce the load on the national electricity grid. A cross-national study involving cost-benefit analysis of family-sized digesters in Tripoli is yet to analyze in order to predict the future of biogas technology in Libya. Information about government subsidies on renewable energy generation plants in Tripoli is important but unknown yet. This study revolves around the utilization of food waste collected from residential buildings only. Although hotels, restaurants, and canteens can also provide a considerably high amount of food waste and it is relatively easy for them to collect it separately. Thus further work can be based on the food waste collection from the food consumption areas. It is important to remember that there is no need to restate the research objectives in conclusion. Your statements should incorporate answers to research questions without you having to repeat those questions. Here is another example of dissertation conclusion.

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Summarising and Reflecting on Research

As mentioned before, the conclusion chapter gives you that final opportunity to restate what your research study intended to achieve, what approach you took in the process, where findings you came up as a result of your study, and whether or not they were according to your expectations. In short, a conclusion section needs to provide an overview of the building blocks of your research.

It is common to use a reflective style of writing here, rather than simply restating what you have already written in the previous chapters. This approach will also help you to avoid repetition.

For example, if there were limitations of your chosen research methodology then you might want to briefly state whether or not that could have influenced the results of your research study. You can also highlight any new insights that you recorded during the process.

Focus more on the positives of your study although you will be expected to concisely state the limitations of your research as well.

The research approach employed for this research study provided new insight into B even though it limited the generalizability of findings.

Recommendations for Future in Conclusion Chapter

Although it is common to provide recommendations for future research work in the discussion chapter, it will be a good idea to provide an overview of those endorsements in the conclusion chapter with a focus on the practical and theoretical consequences of your results.

Practitioners should consider A and B based on these conclusions….Further research needs to be conducted for better understanding in regards to the implications of these findings….The effects of the relationship between A and B are still unclear, and so further research must be conducted…

Research pertaining to a dissertation or thesis is usually expected to discover, enlighten, and educate rather than frame the results as essentials for practitioners and policymakers.

Any recommendations related to business, application, and strategy should be presented as propositions to avoid overstating the appositeness of your work.

Never undermine your research work when making propositions for future research. Your work should be recognized as complete, thorough, and reliable without the need for further research to confirm your conclusions.

Stress the Importance of Your Research in Conclusion

You don’t want your readers to leave with the impression that your work did not make a valuable contribution to the existing knowledge in your area of study. Here are some ideas to demonstrate how this is done;

Referring back to the problem statement to help readers understand how your work addresses the research problem originally identified.
Elaborate how your results validated or tested an existing hypothesis or theory.
Stating how your research was able to fill a certain gap in existing knowledge as pointed out in the literature review.

Again, it is recommended to avoid repetition. You do not want to reiterate what you have already discussed in the previous chapter.

Dissertation Conclusion Help from Experts

Writing a dissertation is no mean feat because it requires complete dedication and attention to detail in order to secure a good grade.

Even the very first part of your dissertation – topic selection can become a cumbersome task because of the need to select a topic with a sufficient amount of literature available on it.

Despite putting in a lot of effort, you might still end up with a grade that is well below your own expectations which is why it is sometimes better off to approach professionals providing dissertation writing services so that the complexities surrounding a top-quality dissertation are handled by people with specialized skill set.

As we approach the conclusion of this piece, it should be clear by now as to what students are expected to do in the final phase of their dissertations. In short, they should have a clear idea about how to write a dissertation conclusion .

Finally, it is important not to let yourself down by writing a mediocre conclusion and consequently lose crucial marks. The hard part of your dissertation is already completed so it is worthwhile to put in a concentrated effort to end on a high and impress your supervisor.

Struggling with any Chapter of your Dissertation?

Whether it is your dissertation introduction, literature review, methodology, conclusion or any other chapter, our expert dissertation writers can help you succeed. With our dissertation chapter writing service, you can be confident of having your individual chapters completed to your school’s exact guidelines. Click here to learn more about our dissertation chapter writing service. Find out how our dissertation services can help you.

Frequently Asked Questions

How many pages is a dissertation conclusion.

The length of a dissertation conclusion varies but is typically around 1 to 2 pages. It succinctly summarizes key findings, discusses implications, and restates the significance of the study, providing a resolution to the research.

The Dos and Don’ts of Writing a Dissertation Conclusion

3-minute read

5th August 2015

After years of hard work, dedicated research and sleepless nights, you’re finally close to finishing your dissertation . You’ve reviewed the literature , gathered and analyzed data, and reflected on the results. Well done.

But what does it all mean? This is where the conclusion becomes crucial, as it allows you to summarize your work and its significance.

It’s therefore important that the conclusion to your dissertation is clear, concise and compelling. Here are a few “dos” and “don’ts” to keep in mind when writing your conclusion!

1. Summarize Your Argument

A good conclusion will briefly restate your hypothesis, key findings and the implications of your research. This will help the reader to follow your argument as a whole, bringing together various elements raised during the discussion.

2. Put Your Work in Context

The conclusion of your dissertation is a good place to restate the significance of your work. This might include how it contributes to existing knowledge in your field or its importance outside of academia.

3. Assess Limitations

No study is perfect, not even yours! Sorry to break the bad news!

On the plus side, you can discuss the limitations of your work at the end of your dissertation. Doing this will demonstrate your understanding of the research process. Issues you may want to consider include sample size and time constraints.

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4. Identify Implications for Future Research

Most dissertation conclusions include suggestions for how your work could inform future research. This could be a refinement of your own investigation, though it might also be a radical new idea suggested by your results!

1. Introduce New Material

Although it’s fine to offer an opinion or reflection at the end of your dissertation, introducing new arguments or evidence at this point is forbidden. If something is important enough to include in the conclusion, it should be part of the main body of your paper.

2. Write Too Much

Your conclusion should include a summary of what precedes it, but it isn’t necessary to go back over everything in depth. Try to make this chapter fairly snappy, relating what you have already read in an easily digestible way.

3. Keep Your Reader in Suspense

Unlike an episode of Game of Thrones , you can’t finish your dissertation on a cliffhanger! In your research, you will have set out to answer certain questions. Make sure that you address these explicitly in your conclusion so that nothing is overlooked.

If you follow these tips you should hopefully find writing that all – important concluding chapter a much simpler process. For more information about writing a dissertation or thesis, read our full dissertation writing guide . But if you need any more support, the experts at Proofed will be happy to look over your work!

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Writing the Dissertation - Guides for Success: The Conclusion

Writing the Dissertation Homepage
Overview and Planning
The Literature Review
The Methodology
The Results and Discussion
The Conclusion
The Abstract
Getting Started
Annotated Example
What to Avoid

Overview of writing the dissertation conclusion

The conclusion is the final chapter of the dissertation. It serves to reinforce your main argument and findings, before considering the wider implications of your research. Along with the introduction, it’s often the shortest chapter in a dissertation, but it is a chapter in its own right and should be given due care and attention.

Even so, the conclusion of a dissertation is sometimes hastily thrown together, culminating in a perfunctory and uninspiring end to such a substantial piece of work. Just like how nobody likes a bad ending to a movie, you want your conclusion to be an accurate and positive reflection of your dissertation that leaves your reader with a clear and satisfying end to the work.

Disciplinary differences

Please note: this guide is not specific to any one discipline. The conclusion can vary depending on the nature of the research and the expectations of the school or department, so please adapt the following advice to meet the demands of your project and department. Consult your supervisor for further guidance.

Guide contents

As part of the Writing the Dissertation series, this guide covers the essentials of writing a strong conclusion, giving you the necessary knowledge, tips and guidance needed to leave a positive impression on your markers! Here’s what to expect:

Getting Started - Defines the overarching purpose of the conclusion.
Structure - Breaks down the conclusion's 'narrow to broad' structure in two main parts.
Annotated Example - Provides a sample conclusion with notes to highlight the strategies the writer uses.
What to Avoid - Covers a few frequent mistakes you'll want to...avoid!
FAQs - Guidance on first- vs. third-person, use of secondary literature and more.
Checklist - Includes a summary of key points and a self-evaluation checklist.

Training and tools

The Academic Skills team has recorded a Writing the Dissertation workshop series to help you with each section of a standard dissertation, including a video on writing the dissertation conclusion (embedded below).
The dissertation planner tool can help you think through the timeline for planning, research, drafting and editing.
iSolutions offers training and a Word template to help you digitally format and structure your dissertation.

What is the conclusion?

The conclusion isn’t simply a brief recap of your previous chapters. Instead, the conclusion revisits your primary research purpose – your research question(s) and/or hypotheses – and summarises and synthesises the main research findings, or areas of discussion, to reinforce how your dissertation responds to that purpose: how does it answer question X or prove argument Y to be correct?

The conclusion then moves beyond the immediate confines of your research to engage with the wider impact and relevance of your work. That is to say, you feed the work you have completed back into the wider context to emphasise how your research has advanced our understanding of this area. This is your final opportunity to leave a positive and lasting impression on your reader, so it’s important that your conclusion captures the essential information in your dissertation and emphasises its value in the relevant profession or field of research.

Structuring a conclusion

Whilst the conclusion of a dissertation is a chapter in its own right, it’s important to consider the role that the conclusion plays in the entire structure of your dissertation. You might recognise the shape below – what is sometimes called an ‘hourglass’ structure. This represents a typical structure for an essay or dissertation. Below, we'll explore what this shape suggests about earlier sections of the dissertation as well as the conclusion.

Hourglass shape with 'Introduction & Literature Review' on broad to narrow section; 'Methods' and 'Results/Discussion' in narrow section; and 'Conclusion' in narrow to broad bottom.

Figure 1: The ‘hourglass’ shape that symbolises the broad-to-narrow, then narrow-to-broad structure of a dissertation, and academic writing in general.

Introduction and literature review

Broad to narrow – eases the reader into the discussion by introducing them to the broad situation within which your research sits.
Narrows the focus through the literature review whilst maintaining a direct interest in the wider research context.
Arrives at a narrow focus towards the end by clearly stating what your focus is, what research problem you are going to address, how you are going to address that problem and what your argument and findings are.

Main body (methodology, results and discussion)

Narrow focus – provides the finer details of your dissertation by isolating particular aspects to discuss and scrutinise, such as the details of how your study was designed.
Driven by the results of your study, with secondary material used to contextualise the meaning and significance of your findings.
Narrow to broad – reinforces your main argument and findings, then...
Broadens out by considering the wider implications of your work for the relevant profession or field of research.

A structure in two main parts

We’re going to break the conclusion down into two main parts:

1) A summary and synthesis of your main findings or discussion points that directly respond to, and address, your research question(s) and/or hypotheses. For this reason, it’s often useful to start by briefly repeating the research problem you’ve addressed. This constitutes the narrow part of the conclusion.

2) Engagement with the impact and relevance of your research to the wider, relevant context . This constitutes the broader part of the conclusion.

Let’s look at both in more detail.

Summary and synthesis

To write an effective conclusion for your dissertation, you need to do more than simply repeat the main points and findings of your research. Instead, you need to summarise and synthesise (definition below) your main findings and points of discussion, forming a cohesive picture for your reader that brings the different elements of your research together. This helps your reader to understand how you have reached a certain answer, or why you think your argument is correct.

It’s often useful to start with a brief recap of the research problem before stating how your dissertation has responded, in some way, to this problem by synthesising the main findings and discussion points. For example:

Despite extensive research on the application of tool X, this dissertation has noted an absence of rigorous research on how this tool can be applied to demographic Y. Considerable research demonstrates the strengths and weaknesses of applying this tool when working with various demographics, particularly A and B, but the different demands associated with demographic Y restrict the suitability of these findings for this age group. In response, this dissertation has…

Following this, you need to outline how your dissertation has responded to this problem by summarising and synthesising your main findings and/or discussion points and reinforcing your main argument. Try summarising every one of your main findings or discussion points – keep it brief (one or two sentences) – and then, where possible, try and condense and connect this information to form a brief portrait of your dissertation. See ' Annotated example' for more on this.

Wider, relevant context

Once you have reinforced your research focus and your argument by summarising and synthesising your main findings, you need to relate your research to a wider, relevant context . This might include:

‘Returning’ to the introduction

As stated earlier, you conclusion shares a close relationship with your introduction with both acting as bookends that frame your entire dissertation – like the first scene and last scene of a film. For this reason, you need to return back to your introduction by revisiting the broad, but relative, themes that opened your dissertation as a way of contextualising your argument and results.

Ask yourself the question, ‘What do we now know that we didn’t at the start?’ The argument and findings won’t be a revelation to your reader, but framing them in this slightly broader context helps to reinforce the significance and contribution of your work. This brings your work ‘full circle’ and creates a neat symmetry to your work – a narrative thread for your reader to follow.

Recommendations for future research

Where necessary, it’s a good idea to include some suggestions for relevant future research that you think will help to further advance our knowledge of the research area. Don’t commit too many words to this. You simply need to state what contributions to the research field might be worth pursuing in the future and how this might further enrich our understanding of the topic. This serves to emphasise that your work is part of an evolving landscape of research, thus engaging with the wider context. This can often feature in the discussion chapter, rather than the conclusion (see our Writing the Results and Discussion guide for more).

Recommendations for practitioners

Depending on the nature of your research, it might be necessary to suggest some recommendations for relevant professionals and industry practitioners based on your findings. Remember these are only recommendations, and they must be consistent with your findings. Briefly mention how each recommendation would serve to address and, potentially, solve a problem faced by professionals. This helps your reader to understand the real-world implications and relevance of your work. Like recommendations for future research, this can often feature in the discussion. Consult your supervisor for discipline-specific guidance.

Annotated example

Take a look at this annotated example to see how the structural components discussed in the 'Structure' tab fit together to form a conclusion. This is only a short example, and your conclusion might be longer and slightly more detailed, but this gives you an idea of the flow and structure.

By focussing on the Arab Spring uprising, this dissertation has demonstrated the ways in which social media animates forms of civil empowerment through collective political action. Whilst other examples could have been used, this dissertation has highlighted how participants in the Arab Spring coordinated a strategic network of communication, drawing on Facebook, Twitter and YouTube in both distinct and interrelated ways. By adopting social media in such a way, the Arab Spring not only demonstrates that social media can have a profound impact on forms of civil empowerment, but can also become a powerful political tool when deployed in a strategic and coordinated manner.

As outlined in Chapter 3: Methodology and Chapter 4: Results, this study collected quantitative data, such as the number of likes, retweets and views, to measure the reach of social media interactions on the Arab Spring uprising during a three month period. Qualitative data was also collected through the language and rhetoric employed by citizens posting comments, and the content of videos posted on the social media sites in question. This mixed-methods approach, along with the focus on three social media platforms, provided a triangulation of data that strengthened the depth of the research and allowed for a more nuanced portrait of how social media, when deployed in a coordinated way for a particular event, forms an interconnected network of channels through which information can flow freely. As evidenced by the quantitative data, with posts and retweets reaching their millions, the use of social media had a cumulative power with the Arab Spring by spreading the civil unrest and galvanising support for the cause.

Whilst the Arab Spring only represents one case of the relationship between social media and civil empowerment, this case study shows how the Arab Spring played an influential role in the mobilisation of the hashtag movement and the digitisation of civil activism. This is most clearly exemplified by the Me Too movement, supporting the fight against sexual harassment and assault, and Black Lives Matter, fighting against the racial oppression of black people. In examining the role of social media on these and other such cases of civil activism, perhaps a systematic comparison between social media and traditional forms of media, such as newspapers, would provide further opportunities to assess the relationship between social media and social activism.

Future research should also further explore the tension between social media and political censorship. Indeed, despite social media’s obvious potential as a tool for civil empowerment, Chapter Five: Discussion also pointed to the dangers of how oppressive governments can respond to the apparent threat of civil activism through aggressive forms of censorship. Moving forward, social media platforms must defend the freedom of its users to engage in socially active ways, and understanding the intersection between social media and political censorship is crucial to defending this freedom. Only by preserving this freedom can social media, and the internet in general, continue to realise its primary function as an open sources of communication that evades the restrictive censorship of traditional gatekeepers.

What to avoid

This portion of the guide will cover some common missteps you should try to avoid in writing your conclusion.

Excessive detail

The conclusion isn’t the place to repeat detailed statistics or retrace the finer nuances of an argument. You simply need to reinforce the main findings and the essential information in your dissertation. Only you can determine what you think is a necessary level of detail in your conclusion, but look at the following two examples as a guide:

Excessive: The results showed a considerable increase from Sample A to Sample E. As expected, Sample A started low with only 6 per cent. Sample B then showed an increase of 20 per cent, with Sample C then reaching 36 per cent to show a further increase of 16 per cent. Sample D furthered this trend, reaching 59 per cent. Sample E then reached 82 per cent, showing a 23 per cent increase from the previous sample.
Improved: The results showed a considerable increase of 76 per cent from Sample A (6 per cent) to Sample E (82 per cent) with samples C to D and samples D to E both showing the largest increase of the study with a 23 per cent rise.

New information

You should avoid presenting any new information, such as primary data or theories, when writing your conclusion. Any primary or secondary material you deem important enough to state in the conclusion (although avoid excessive detail as stated above) should be evident in your results and/or discussion chapters.

'In conclusion...'

Whilst it might seem logical to start your conclusion with ‘In conclusion’, it’s best to avoid this. It’s not strictly wrong to start with ‘In conclusion’, ‘To summarise’, or some other variation of such phrases, but it reflects a somewhat lazy and clichéd approach given its excessive use.

The start of your conclusion should be obvious for two main reasons. Firstly, the chapter heading ‘Conclusion’ serves as a clear indication to your reader! Secondly, your conclusion should signal a rhetorical shift in your writing to a more reflective register. For example:

This dissertation has considered the complex ways in which…

The use of the present perfect tense here signals this shift to a reflective register.

Don’t state your core argument and main observations for the first time in the conclusion chapter. This is sometimes mistakenly employed as a way of maintaining a sense of mystery before the grand reveal at the end – like the dramatic third act of a play or the final twist in a film. Academic writing is not driven by the same intrigue as narrative storytelling. Instead, the ‘end’ or conclusion in a dissertation or written assignment should be clearly signposted early on – the abstract and the introduction – as a way of focusing the reader’s attention.

Q: How long should the conclusion be?

A: Roughly 5-10% of the dissertation’s word count (usually nearer the 5% end). So, for a 10,000 word dissertation, you should aim for anything between 500 words to 1,000. You should, however, be flexible with this. As always, it depends on the nature of your dissertation and the expected conventions in your department or school. It’s always worth seeking advice from your supervisor, but it’s safe to say that – along with the introduction (again dependent on the nature of the dissertation) – it’s often the shortest chapter in the dissertation.

Q: Should the conclusion include references to secondary literature?

A: Yes, but only when necessary. As noted in ' What to avoid' , you shouldn’t be bringing in new data, theories or information, which means you will likely revisit previously discussed work in light of your own findings and argument. Although you have already mentioned and cited the original work, it’s good practice to cite them again. This is also imperative in cases where you have cited more than one piece of work from the same author or authors. So, for example:

These findings support the work of Jones (2010) in which X and Y were both seen to…

Q: Should the conclusion be in the first-person or third?

A: It depends what you’ve been using throughout your dissertation – it’s important to be consistent. Typically, third-person is used in academic writing, although first-person is accepted in some disciplines. For instance, certain genres, such as reflective writing, demand the first-person. Consult your supervisor for further guidance.

The conclusion is your final chance to leave a positive impression on your reader, so it’s important that you conclude in a clear and engaging manner. Rather than simply repeating the main content from your previous chapters, you should be summarising and synthesising your main findings and discussion points and bringing them together to reinforce your central argument and respond to any research questions or hypotheses you have. You should then engage with the wider, relevant context by returning back to where you started in your introductory chapter to answer and consider the question, ‘What do we now know that we didn’t before?’

Here’s a final checklist for writing an effective conclusion. Remember that not all of these points will be relevant for your conclusion, so make sure you cover whatever’s appropriate for your dissertation. The asterisk (*) indicates any content that might not be relevant for your dissertation. To save your own copy of the checklist to edit, please use the Word document, below.

Conclusion self-evaluation checklist

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Last Updated: May 30, 2024 2:45 PM
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How to Write a Relevant Conclusion for Your Dissertation

The last portion of your dissertation is called the conclusion. The objective of the dissertation conclusion is to answer the primary question of the research, provide a summary of the research, make recommendations for possible research on the subject and list the new information that your research contributes to the field.

Although the discussion and the conclusion have similar elements, they are not the same. They may be combined in shorter journal articles and papers. However, in a thesis, both the conclusion and discussion must be included.

While a discussion includes specific interpretations and results, the conclusion makes broader statements to sum up all the important points of your research.

Writing a good conclusion is important to clarify the main discoveries and arguments of your research. Here are some tips on how to conclude a thesis.

Provide Answers to The Primary Question in Your Research

The first step is to understand how to start a conclusion. It must begin with the key question of your dissertation. This allows you to show the results of your work. It must be clear and concise. You do not have to repeat all the results discussed along the thesis. Just combine them into a few words that will become the final takeaway for readers.

For example, the conclusion for a dissertation that aims at making theoretical arguments by analysing case studies, the beginning can be as follows:

“A detailed analysis of the changing representations of the UK border policy and migration over the last ten years, the influence of media discourse in political decision making is highlighted in this dissertation”

Summarise Your Research

The thesis conclusion gives your readers a reminder about why you approached a topic in a certain way. You must summarize the expected results and the actual results that matched these expectations.

The summary should not have too many repetitions. It is not meant to summarize every chapter. Instead, it must reflect your views and ideas that were developed through the course of the thesis. This is also a good opportunity to list any limitations in the research. You can also highlight why your methodology was best suited for the topic discussed.

Here is an example of how to restate thesis in conclusion:

This research evidently shows “X” while raising a few questions about “Y”. In keeping with the example provided above, the summary can begin as follows: “In addition to showcasing the various representations of UK border policy, this thesis also raises questions on the credibility of media exposure in these representations.”

Provide Recommendations

In the discussion of your research, you may have provided possible areas to explore in future research. However, with the conclusion, you can elaborate on these suggestions. Make sure you include the implications of all your findings in the field of study.

These examples will help you understand ways to start a dissertation conclusion recommendation:

“Further research is required to determine the relationship between the changing political views on migration and their effect on global economy”, or, “Based on the conclusions of this research, practitioners may consider studying the relationship between migration and economy”

Make sure that you do not exaggerate how applicable your research is. Instead, provide broader statements to highlight important insights of your thesis. Remember, the conclusion must not include any new interpretations, data or arguments.

Highlight the Contributions of You Research

A good thesis is one that provides some new knowledge to a particular field of study. This gives your readers a very strong impression about the contributions of your thesis. You can highlight the contributions of your research in different ways as mentioned below:

Go back to the problem statement and explain how your thesis has helped solve it.
Use references from the literature review to showcase how your research has addressed any gaps in information.
Write about how the results of your thesis challenges existing assumptions and theories.

You need to make sure that you do not repeat information that has already been covered in the discussion. Choose only the important points and provide a brief overview.

Complete the Dissertation

Once the conclusion is written, there are a few final steps to complete your dissertation:

Write the thesis abstract in 200 words or less .
Review your reference list and format it as per the writing style. You can also use online reference generators to speed up this process.
Create the table of contents and complete the title page .

Make sure you review the document completely to ensure that there are no language errors.

Dissertation Conclusion Checklist

To make sure that you have understood the essence of the conclusion, compare this checklist with any available dissertation conclusion sample:

The research question is answered The argument is summarised There is some reflection on the methods and results Limitations, if any, are highlighted The most relevant recommendations are discussed The important contributions of the thesis are explained clearly There is no inclusion of new data

If you need any thesis writing help or wish to read through example of conclusion in thesis, our experts are always ready to help you. Get in touch with us now to create an impressive conclusion for your thesis.

How to Write a Dissertation or Thesis Conclusion: Guide & Examples

Table of contents

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A dissertation conclusion serves as the final chapter and is often the last thing the reader will see. It should provide a concise summary of the research project, including the research questions or hypotheses, the methods used to conduct the research, and the key findings and conclusions. The conclusion section should also discuss the implications of the research, including its significance for the field and any practical applications of the findings.

Are you a PhD, doctorate, or bachelor student looking forward to writing your dissertation/thesis conclusion and don't know where to start? Stop worrying — help is here. Continue reading this blog post to gain an idea on how to write a conclusion for a thesis or dissertation. In this article, we will discuss what a dissertation conclusion is, its length, and what it should include. Our dissertation services also provided examples, and explained some typical mistakes you have to avoid.

What Is a Dissertation Conclusion?

So, what is a thesis conclusion? It is a concluding chapter in a dissertation or thesis paper. It is the last section of an academic work, carefully written to summarize the information discussed in a document and offer readers insight into what the research has achieved. Your dissertation or thesis conclusion should be well-drafted as it is a reference point that people will remember most. The purpose of dissertation conclusion is to give those reading a sense of closure and reiterate any critical issues discussed. Each conclusion for dissertation should be concise, clear, and definitive. Also, its aim is to offer recommendations for further investigation as well as give readers an understanding of the dissertation discussion chapter .

Thesis or Dissertation Conclusion Length

The conclusion of a thesis or a dissertation is a long chapter — not one single sentence but a whole page or more. Generally, it should be 5–7% of the overall word count. The length of a thesis or dissertation conclusion chapter depends on several factors, such as your academic field, research topic , and stated number of pages. However, it can vary depending on other circumstances. Indeed, you should always refer to each set of your university guidelines for writing conclusions. It's important to note that this section ought not to introduce any new information and be a summary of the research findings. Also, every dissertation conclusion must not be too long as it can distract from other aspects of your thesis. Make sure that you provide a balanced summary and avoid repeating yourself. Lastly, it has to be long enough to discuss its implications for future studies.

What to Include in the Conclusion of a Dissertation or Thesis?

Writing a thesis conclusion can be challenging, but every student needs to understand how to create it, as this is one of the most critical parts of your Ph.D. work. Below is the list of things every dissertation conclusion structure should include:

Summary of the major findings of your research Summarize the main points discussed in your work.
Implications of your research Discuss your study's implications for future research and academic fields. Doing this here is essential to indicate an author's transparency and willingness to accept the flaws of their report.
Recommendations for further study Provide suggestions for the next investigation if needed.
Reviewing any limitations and weaknesses of the research process and findings It is an integral part of dissertation conclusions as it allows authors to reflect on the process.
Evaluation or analysis of your findings Analyze your research findings and provide an assessment.
Conclusion statement Provide a specific conclusion that summarizes your thesis or dissertation.

Hopefully, these tips on writing a conclusion chapter for your thesis or dissertation will help you finish your work confidently. All these components should be present when writing a conclusion for thesis or dissertation. Additionally, ensure that you do not repeat yourself. Lastly, keep your length appropriate and based on your university guidelines.

How to Write a Dissertation Conclusion Chapter?

When writing this chapter, you should ensure its content is clear and concise. Equipping yourself with some knowledge of how to write a conclusion for a dissertation or thesis is imperative, as it will help you keep your piece organized, logical, and interesting. This chapter is the last part of your work that your professors or readers will read, and it should make a lasting impression on them. Below is a step-by-step instruction on how to write a dissertation conclusion section.

1. Restate Your Research Question and Answer It

While writing a dissertation conclusion, your first step is to restate the research question offered in your dissertation introduction and reveal the answer. It is essential to do this in your conclusion in thesis or dissertation because it helps readers be aware of every primary point you were trying to achieve in writing. In addition, restating available research questions in your conclusion in a dissertation or thesis will also make people understand the significance of your inquiry. In other words, it should remind people of the original purpose of writing. Provide further insights into a topic when answering each research question. In addition, responses must be related to your dissertation results section and offer evidence for any conclusions you made in your study. When writing a dissertation conclusion chapter, you ought to be able to give a meaningful response to the study question that adds value to your work. Keeping replies short, concise, and clear will help you to avoid writing irrelevant content. Below is an example of how to start a dissertation conclusion:

2. Summarize Key Points

The next element in your conclusion section is summarizing the main points of your dissertation. In this section, students need to reflect on their study and mention critical findings and the methodology's effectiveness. Straightforwardly compose your summary and ensure you use your own words to write a conclusion in a dissertation. Avoid copying and pasting sentences from other parts of your work to evade plagiarism and repetition. In concluding a dissertation, each written summary should include findings, results, data, and additional relevant literature. The following is an example of how to summarize a dissertation:

3. Explain Why Your Study Is Valuable

After summarizing your key points, the next step to writing a dissertation conclusion is to explain why your research was valuable. Here you should provide readers with an additional perspective of the study to better understand the importance of your study. When it's time to write a conclusion to a thesis paper or dissertation, you must explain what makes it worthwhile to any academic or scientific community. It can include topics such as answering a critical research question, using unique methods to explore an issue, or discovering something new about an existing topic. You should note that you have to provide further recommendations to help improve the research. Composing a dissertation conclusion shows how your work has impacted the field of study, either in progress or resolving an existing problem. It is essential to demonstrate how your study contributes to future studies and influences society or policymaking. Doing this is crucial in your dissertation conclusion chapter as it shows readers the importance of research in that field and validates what you have achieved throughout your investigation. Also, explaining some study implications to society will help people understand why this topic is valuable and relevant. Below you can find an example of how to write contributions in a dissertation conclusion:

If you experience difficulties with any section of your PhD work, don’t hesitate to ask our professional academic writers for thesis help.

4. Mention the Limitations of Your Study

When writing a thesis or dissertation conclusion, mentioning your study's limitations is imperative. It includes discussing any issues you encountered in collecting data, constraints that limited your research, and specific parameters. Citing these shortcomings can help provide insight into why certain elements may not be included in your work and explain any discrepancies your readers might have noticed and, hence, missing in your conclusion chapter. Additionally, writing about any drawbacks can deliver an opportunity to offer further suggestions for future studies and make recommendations on how best to address these uncovered issues. In concluding a dissertation, constraints should not be seen as unfavorable but rather as an additional chance to deliver more understanding of your investigation. Limitations in a thesis conclusion example can look as follows:

When writing about identified limitations of the research, you demonstrate to readers that you considered critical shortcomings and that you are aware of available potential issues. That will provide insight into addressing these limitations and help display your researching and writing credibility.

5. Offer Recommendations Based on Implications

Including recommendations is an integral part of writing every conclusion of a dissertation. In this section, you can provide insight into how to address any issues you have uncovered in your study and make suggestions for future research. When including recommendations, you should first give an overview of the implications of your research and then link it to how you may deal with them. A bachelor conclusion ought to consist of advice for students to guide their future writing. Offer insights for further investigation based on data results and analysis of literature review . Below is an example of how to write dissertation conclusion recommendations:

6. Conclude Your Dissertation with a Summary

The end of conclusion final chapter will close with a summary of the study. Wrapping up your dissertation or thesis conclusions is an excellent way to leave long-lasting impressions on your readers and ensure they remember all critical points of your research. You should summarize key points from previous sections and how they contribute to your overall context. When writing the conclusion chapter of a dissertation, the summary should be brief but comprehensive. Moreover, these findings can offer an innovative perspective on how to conclude a thesis or a dissertation. It provides comprehensive insights into outcomes and their relevance in today's world. Here is how to wrap up a conclusion of a dissertation example:

Thesis & Dissertation Conclusion Examples

Before writing a thesis or dissertation conclusion, you are encouraged to check at least two examples. These instances can provide insights on effectively linking your key findings with possible implications for future studies. In addition, you may use these examples as guides to writing your dissertation conclusions. Attached below is a thesis conclusion example sample.

Thesis paper conclusion example

Dissertation conclusion example

Mistakes to Avoid When Writing Dissertation Conclusions

Mistakes are inevitable when writing conclusions in a dissertation, but you can avoid them through careful proofreading and editing. Including new information or data in your dissertation or thesis conclusion chapter is one such mistake. The chapter should only incorporate information or data already mentioned and discussed in other preceding body paragraphs. How not to write a dissertation conclusion can be seen in complex language, lengthy sentences, and confusing grammar. In addition, one should evade making unsubstantiated claims or generalizations not supported by research findings. Shun writing phrases or any argument considered jargon. Lastly, ensuring that the conclusion chapter in a dissertation answers the research question and that you have provided sufficient evidence to support your conclusions is essential. Therefore, we simply recommend that you review and proofread it before submission. Following these tips mentioned above and examples of dissertation or thesis conclusions should help you write effectively.

Dissertation/ Thesis Dissertation Conclusion Writing Checklist

Writing a conclusion to a thesis paper or dissertation can be daunting because there is a lot of pressure to ensure you wrap up all the key points and tie together any loose ends. Checklists are helpful guides. The reason is that they provide practical tips on how to write dissertation conclusions by breaking each writing process down into manageable steps. Below is a checklist of important things you should keep in mind and follow when writing any conclusion:

Final Thoughts on Dissertation Conclusion

The article discussed how to write the conclusion of a dissertation or thesis writing. It has outlined some critical steps and provided a checklist that you can use as a practical guide. Reasonable inferences require clear objectives, knowing the appropriate structure, addressing any limitations within your work, summarizing key points, providing recommendations for further research, and citing sources appropriately. Also, we offered some samples of how to write a thesis conclusion example. Following these steps will ensure that you conclude your dissertation or thesis writing successfully. Finally, proofread and edit your writing to provide high-quality outcome. All these tips will help you in writing a thesis or dissertation conclusion chapter that is effective and comprehensive.

Keep in mind that our expert writers are always here to support you! They can assist in preparing any section of your study. While we are assisting you with writing, you are relaxing your mind or focusing on other important tasks!

Joe Eckel is an expert on Dissertations writing. He makes sure that each student gets precious insights on composing A-grade academic writing.

FAQ About How to Write a Conclusion to a Thesis or Dissertation

1. how to write a good thesis conclusion.

When writing every thesis conclusion, it's essential to focus on summarizing the key points, providing implications to that broader field, addressing any limitations, and making recommendations for further study. Additionally, it should be concise, clear, logical, and coherent. Finally, it's crucial to proofread and edit it to ensure its high quality.

2. How to start a dissertation conclusion?

Beginning each dissertation's concluding chapter is best done by restating the research question, as it provides the link between your introduction, research objectives, and conclusion. That allows an individual to transition smoothly into summarizing all main points from the discussion. For you to start a dissertation conclusion chapter effectively, it is essential to understand the purpose of writing it in the first place.

4. What is the difference between discussion and conclusion?

The difference between a discussion and a conclusion is in the depth of exploration. A discussion is a detailed assessment of the results, while a conclusion is shorter and more general. The discussion section will usually include a detailed analysis of the data collected, while the conclusion section will often provide an overview of the key points and implications. Additionally, this part will offer recommendations for further research.

3. Can I add new data in a conclusion of the dissertation?

No, including new data in the conclusion of a dissertation is not advisable. This section should summarize the research objectives, findings, and implications. Adding new data would not be appropriate as it may create confusion or inconsistency throughout your research. Conversely, it is prudent to summarize every content your work addresses.

5. How to end a thesis or a dissertation?

The end of a dissertation or a thesis should be memorable and end on a high note. One way to accomplish this is by including something unforgettable, such as a question, warning, or call to action. It will give every reader something to think about and engage in further discussion.

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How to Write a Thesis or Dissertation Conclusion

How to Write a Dissertation Conclusion | Checklist and Examples

Published on 9 September 2022 by Tegan George and Shona McCombes. Revised on 10 October 2022.

The conclusion is the very last part of your thesis or dissertation . It should be concise and engaging, leaving your reader with a clear understanding of your main findings, as well as the answer to your research question .

In it, you should:

Clearly state the answer to your main research question
Summarise and reflect on your research process
Make recommendations for future work on your topic
Show what new knowledge you have contributed to your field
Wrap up your thesis or dissertation

Instantly correct all language mistakes in your text

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Discussion vs. conclusion, how long should your conclusion be, step 1: answer your research question, step 2: summarise and reflect on your research, step 3: make future recommendations, step 4: emphasise your contributions to your field, step 5: wrap up your thesis or dissertation, full conclusion example, conclusion checklist, frequently asked questions about conclusion sections.

While your conclusion contains similar elements to your discussion section , they are not the same thing.

Your conclusion should be shorter and more general than your discussion. Instead of repeating literature from your literature review , discussing specific research results , or interpreting your data in detail, concentrate on making broad statements that sum up the most important insights of your research.

As a rule of thumb, your conclusion should not introduce new data, interpretations, or arguments.

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Depending on whether you are writing a thesis or dissertation, your length will vary. Generally, a conclusion should make up around 5–7% of your overall word count.

An empirical scientific study will often have a short conclusion, concisely stating the main findings and recommendations for future research. A humanities topic or systematic review , on the other hand, might require more space to conclude its analysis, tying all the previous sections together in an overall argument.

Your conclusion should begin with the main question that your thesis or dissertation aimed to address. This is your final chance to show that you’ve done what you set out to do, so make sure to formulate a clear, concise answer.

Don’t repeat a list of all the results that you already discussed
Do synthesise them into a final takeaway that the reader will remember.

An empirical thesis or dissertation conclusion may begin like this:

A case study –based thesis or dissertation conclusion may begin like this:

In the second example, the research aim is not directly restated, but rather added implicitly to the statement. To avoid repeating yourself, it is helpful to reformulate your aims and questions into an overall statement of what you did and how you did it.

Your conclusion is an opportunity to remind your reader why you took the approach you did, what you expected to find, and how well the results matched your expectations.

To avoid repetition , consider writing more reflectively here, rather than just writing a summary of each preceding section. Consider mentioning the effectiveness of your methodology , or perhaps any new questions or unexpected insights that arose in the process.

You can also mention any limitations of your research, but only if you haven’t already included these in the discussion. Don’t dwell on them at length, though – focus on the positives of your work.

While x limits the generalisability of the results, this approach provides new insight into y .
This research clearly illustrates x , but it also raises the question of y .

You may already have made a few recommendations for future research in your discussion section, but the conclusion is a good place to elaborate and look ahead, considering the implications of your findings in both theoretical and practical terms.

Based on these conclusions, practitioners should consider …
To better understand the implications of these results, future studies could address …
Further research is needed to determine the causes of/effects of/relationship between …

When making recommendations for further research, be sure not to undermine your own work. Relatedly, while future studies might confirm, build on, or enrich your conclusions, they shouldn’t be required for your argument to feel complete. Your work should stand alone on its own merits.

Just as you should avoid too much self-criticism, you should also avoid exaggerating the applicability of your research. If you’re making recommendations for policy, business, or other practical implementations, it’s generally best to frame them as ‘shoulds’ rather than ‘musts’. All in all, the purpose of academic research is to inform, explain, and explore – not to demand.

Make sure your reader is left with a strong impression of what your research has contributed to the state of your field.

Some strategies to achieve this include:

Returning to your problem statement to explain how your research helps solve the problem
Referring back to the literature review and showing how you have addressed a gap in knowledge
Discussing how your findings confirm or challenge an existing theory or assumption

Again, avoid simply repeating what you’ve already covered in the discussion in your conclusion. Instead, pick out the most important points and sum them up succinctly, situating your project in a broader context.

The end is near! Once you’ve finished writing your conclusion, it’s time to wrap up your thesis or dissertation with a few final steps:

It’s a good idea to write your abstract next, while the research is still fresh in your mind.
Next, make sure your reference list is complete and correctly formatted. To speed up the process, you can use our free APA citation generator .
Once you’ve added any appendices , you can create a table of contents and title page .
Finally, read through the whole document again to make sure your thesis is clearly written and free from language errors. You can proofread it yourself , ask a friend, or consider Scribbr’s proofreading and editing service .

Here is an example of how you can write your conclusion section. Notice how it includes everything mentioned above:

V. Conclusion

The current research aimed to identify acoustic speech characteristics which mark the beginning of an exacerbation in COPD patients.

The central questions for this research were as follows: 1. Which acoustic measures extracted from read speech differ between COPD speakers in stable condition and healthy speakers? 2. In what ways does the speech of COPD patients during an exacerbation differ from speech of COPD patients during stable periods?

All recordings were aligned using a script. Subsequently, they were manually annotated to indicate respiratory actions such as inhaling and exhaling. The recordings of 9 stable COPD patients reading aloud were then compared with the recordings of 5 healthy control subjects reading aloud. The results showed a significant effect of condition on the number of in- and exhalations per syllable, the number of non-linguistic in- and exhalations per syllable, and the ratio of voiced and silence intervals. The number of in- and exhalations per syllable and the number of non-linguistic in- and exhalations per syllable were higher for COPD patients than for healthy controls, which confirmed both hypotheses.

However, the higher ratio of voiced and silence intervals for COPD patients compared to healthy controls was not in line with the hypotheses. This unpredicted result might have been caused by the different reading materials or recording procedures for both groups, or by a difference in reading skills. Moreover, there was a trend regarding the effect of condition on the number of syllables per breath group. The number of syllables per breath group was higher for healthy controls than for COPD patients, which was in line with the hypothesis. There was no effect of condition on pitch, intensity, center of gravity, pitch variability, speaking rate, or articulation rate.

This research has shown that the speech of COPD patients in exacerbation differs from the speech of COPD patients in stable condition. This might have potential for the detection of exacerbations. However, sustained vowels rarely occur in spontaneous speech. Therefore, the last two outcome measures might have greater potential for the detection of beginning exacerbations, but further research on the different outcome measures and their potential for the detection of exacerbations is needed due to the limitations of the current study.

Checklist: Conclusion

I have clearly and concisely answered the main research question .

I have summarized my overall argument or key takeaways.

I have mentioned any important limitations of the research.

I have given relevant recommendations .

I have clearly explained what my research has contributed to my field.

I have not introduced any new data or arguments.

You've written a great conclusion! Use the other checklists to further improve your dissertation.

In a thesis or dissertation, the discussion is an in-depth exploration of the results, going into detail about the meaning of your findings and citing relevant sources to put them in context.

The conclusion is more shorter and more general: it concisely answers your main research question and makes recommendations based on your overall findings.

While it may be tempting to present new arguments or evidence in your thesis or disseration conclusion , especially if you have a particularly striking argument you’d like to finish your analysis with, you shouldn’t. Theses and dissertations follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the discussion section and results section .) The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

For a stronger dissertation conclusion , avoid including:

Generic concluding phrases (e.g. “In conclusion…”)
Weak statements that undermine your argument (e.g. “There are good points on both sides of this issue.”)

Your conclusion should leave the reader with a strong, decisive impression of your work.

The conclusion of your thesis or dissertation shouldn’t take up more than 5-7% of your overall word count.

The conclusion of your thesis or dissertation should include the following:

A restatement of your research question
A summary of your key arguments and/or results
A short discussion of the implications of your research

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How to Write a Conclusion for Research Papers (with Examples)

The conclusion of a research paper is a crucial section that plays a significant role in the overall impact and effectiveness of your research paper. However, this is also the section that typically receives less attention compared to the introduction and the body of the paper. The conclusion serves to provide a concise summary of the key findings, their significance, their implications, and a sense of closure to the study. Discussing how can the findings be applied in real-world scenarios or inform policy, practice, or decision-making is especially valuable to practitioners and policymakers. The research paper conclusion also provides researchers with clear insights and valuable information for their own work, which they can then build on and contribute to the advancement of knowledge in the field.

The research paper conclusion should explain the significance of your findings within the broader context of your field. It restates how your results contribute to the existing body of knowledge and whether they confirm or challenge existing theories or hypotheses. Also, by identifying unanswered questions or areas requiring further investigation, your awareness of the broader research landscape can be demonstrated.

Remember to tailor the research paper conclusion to the specific needs and interests of your intended audience, which may include researchers, practitioners, policymakers, or a combination of these.

What is a conclusion in a research paper, summarizing conclusion, editorial conclusion, externalizing conclusion, importance of a good research paper conclusion, how to write a conclusion for your research paper, research paper conclusion examples.

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Frequently Asked Questions

A conclusion in a research paper is the final section where you summarize and wrap up your research, presenting the key findings and insights derived from your study. The research paper conclusion is not the place to introduce new information or data that was not discussed in the main body of the paper. When working on how to conclude a research paper, remember to stick to summarizing and interpreting existing content. The research paper conclusion serves the following purposes: 1

Warn readers of the possible consequences of not attending to the problem.
Recommend specific course(s) of action.
Restate key ideas to drive home the ultimate point of your research paper.
Provide a “take-home” message that you want the readers to remember about your study.

Types of conclusions for research papers

In research papers, the conclusion provides closure to the reader. The type of research paper conclusion you choose depends on the nature of your study, your goals, and your target audience. I provide you with three common types of conclusions:

A summarizing conclusion is the most common type of conclusion in research papers. It involves summarizing the main points, reiterating the research question, and restating the significance of the findings. This common type of research paper conclusion is used across different disciplines.

An editorial conclusion is less common but can be used in research papers that are focused on proposing or advocating for a particular viewpoint or policy. It involves presenting a strong editorial or opinion based on the research findings and offering recommendations or calls to action.

An externalizing conclusion is a type of conclusion that extends the research beyond the scope of the paper by suggesting potential future research directions or discussing the broader implications of the findings. This type of conclusion is often used in more theoretical or exploratory research papers.

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The conclusion in a research paper serves several important purposes:

Offers Implications and Recommendations : Your research paper conclusion is an excellent place to discuss the broader implications of your research and suggest potential areas for further study. It’s also an opportunity to offer practical recommendations based on your findings.
Provides Closure : A good research paper conclusion provides a sense of closure to your paper. It should leave the reader with a feeling that they have reached the end of a well-structured and thought-provoking research project.
Leaves a Lasting Impression : Writing a well-crafted research paper conclusion leaves a lasting impression on your readers. It’s your final opportunity to leave them with a new idea, a call to action, or a memorable quote.

Writing a strong conclusion for your research paper is essential to leave a lasting impression on your readers. Here’s a step-by-step process to help you create and know what to put in the conclusion of a research paper: 2

Research Statement : Begin your research paper conclusion by restating your research statement. This reminds the reader of the main point you’ve been trying to prove throughout your paper. Keep it concise and clear.
Key Points : Summarize the main arguments and key points you’ve made in your paper. Avoid introducing new information in the research paper conclusion. Instead, provide a concise overview of what you’ve discussed in the body of your paper.
Address the Research Questions : If your research paper is based on specific research questions or hypotheses, briefly address whether you’ve answered them or achieved your research goals. Discuss the significance of your findings in this context.
Significance : Highlight the importance of your research and its relevance in the broader context. Explain why your findings matter and how they contribute to the existing knowledge in your field.
Implications : Explore the practical or theoretical implications of your research. How might your findings impact future research, policy, or real-world applications? Consider the “so what?” question.
Future Research : Offer suggestions for future research in your area. What questions or aspects remain unanswered or warrant further investigation? This shows that your work opens the door for future exploration.
Closing Thought : Conclude your research paper conclusion with a thought-provoking or memorable statement. This can leave a lasting impression on your readers and wrap up your paper effectively. Avoid introducing new information or arguments here.
Proofread and Revise : Carefully proofread your conclusion for grammar, spelling, and clarity. Ensure that your ideas flow smoothly and that your conclusion is coherent and well-structured.

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Remember that a well-crafted research paper conclusion is a reflection of the strength of your research and your ability to communicate its significance effectively. It should leave a lasting impression on your readers and tie together all the threads of your paper. Now you know how to start the conclusion of a research paper and what elements to include to make it impactful, let’s look at a research paper conclusion sample.

How to write a research paper conclusion with Paperpal?

A research paper conclusion is not just a summary of your study, but a synthesis of the key findings that ties the research together and places it in a broader context. A research paper conclusion should be concise, typically around one paragraph in length. However, some complex topics may require a longer conclusion to ensure the reader is left with a clear understanding of the study’s significance. Paperpal, an AI writing assistant trusted by over 800,000 academics globally, can help you write a well-structured conclusion for your research paper.

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Navigate to Features : Once logged in, head over to the features’ side navigation pane. Click on Templates and you’ll find a suite of generative AI features to help you write better, faster.
Generate an outline: Under Templates, select ‘Outlines’. Choose ‘Research article’ as your document type.
Select your section: Since you’re focusing on the conclusion, select this section when prompted.
Choose your field of study: Identifying your field of study allows Paperpal to provide more targeted suggestions, ensuring the relevance of your conclusion to your specific area of research.
Provide a brief description of your study: Enter details about your research topic and findings. This information helps Paperpal generate a tailored outline that aligns with your paper’s content.
Generate the conclusion outline: After entering all necessary details, click on ‘generate’. Paperpal will then create a structured outline for your conclusion, to help you start writing and build upon the outline.
Write your conclusion: Use the generated outline to build your conclusion. The outline serves as a guide, ensuring you cover all critical aspects of a strong conclusion, from summarizing key findings to highlighting the research’s implications.
Refine and enhance: Paperpal’s ‘Make Academic’ feature can be particularly useful in the final stages. Select any paragraph of your conclusion and use this feature to elevate the academic tone, ensuring your writing is aligned to the academic journal standards.

By following these steps, Paperpal not only simplifies the process of writing a research paper conclusion but also ensures it is impactful, concise, and aligned with academic standards. Sign up with Paperpal today and write your research paper conclusion 2x faster .

The research paper conclusion is a crucial part of your paper as it provides the final opportunity to leave a strong impression on your readers. In the research paper conclusion, summarize the main points of your research paper by restating your research statement, highlighting the most important findings, addressing the research questions or objectives, explaining the broader context of the study, discussing the significance of your findings, providing recommendations if applicable, and emphasizing the takeaway message. The main purpose of the conclusion is to remind the reader of the main point or argument of your paper and to provide a clear and concise summary of the key findings and their implications. All these elements should feature on your list of what to put in the conclusion of a research paper to create a strong final statement for your work.

A strong conclusion is a critical component of a research paper, as it provides an opportunity to wrap up your arguments, reiterate your main points, and leave a lasting impression on your readers. Here are the key elements of a strong research paper conclusion: 1. Conciseness : A research paper conclusion should be concise and to the point. It should not introduce new information or ideas that were not discussed in the body of the paper. 2. Summarization : The research paper conclusion should be comprehensive enough to give the reader a clear understanding of the research’s main contributions. 3 . Relevance : Ensure that the information included in the research paper conclusion is directly relevant to the research paper’s main topic and objectives; avoid unnecessary details. 4 . Connection to the Introduction : A well-structured research paper conclusion often revisits the key points made in the introduction and shows how the research has addressed the initial questions or objectives. 5. Emphasis : Highlight the significance and implications of your research. Why is your study important? What are the broader implications or applications of your findings? 6 . Call to Action : Include a call to action or a recommendation for future research or action based on your findings.

The length of a research paper conclusion can vary depending on several factors, including the overall length of the paper, the complexity of the research, and the specific journal requirements. While there is no strict rule for the length of a conclusion, but it’s generally advisable to keep it relatively short. A typical research paper conclusion might be around 5-10% of the paper’s total length. For example, if your paper is 10 pages long, the conclusion might be roughly half a page to one page in length.

In general, you do not need to include citations in the research paper conclusion. Citations are typically reserved for the body of the paper to support your arguments and provide evidence for your claims. However, there may be some exceptions to this rule: 1. If you are drawing a direct quote or paraphrasing a specific source in your research paper conclusion, you should include a citation to give proper credit to the original author. 2. If your conclusion refers to or discusses specific research, data, or sources that are crucial to the overall argument, citations can be included to reinforce your conclusion’s validity.

The conclusion of a research paper serves several important purposes: 1. Summarize the Key Points 2. Reinforce the Main Argument 3. Provide Closure 4. Offer Insights or Implications 5. Engage the Reader. 6. Reflect on Limitations

Remember that the primary purpose of the research paper conclusion is to leave a lasting impression on the reader, reinforcing the key points and providing closure to your research. It’s often the last part of the paper that the reader will see, so it should be strong and well-crafted.

Makar, G., Foltz, C., Lendner, M., & Vaccaro, A. R. (2018). How to write effective discussion and conclusion sections. Clinical spine surgery, 31(8), 345-346.
Bunton, D. (2005). The structure of PhD conclusion chapters. Journal of English for academic purposes , 4 (3), 207-224.

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The conclusion is intended to help the reader understand why your research should matter to them after they have finished reading the paper. A conclusion is not merely a summary of the main topics covered or a re-statement of your research problem, but a synthesis of key points derived from the findings of your study and, if applicable, where you recommend new areas for future research. For most college-level research papers, two or three well-developed paragraphs is sufficient for a conclusion, although in some cases, more paragraphs may be required in describing the key findings and their significance.

Conclusions. The Writing Center. University of North Carolina; Conclusions. The Writing Lab and The OWL. Purdue University.

Importance of a Good Conclusion

A well-written conclusion provides you with important opportunities to demonstrate to the reader your understanding of the research problem. These include:

Presenting the last word on the issues you raised in your paper . Just as the introduction gives a first impression to your reader, the conclusion offers a chance to leave a lasting impression. Do this, for example, by highlighting key findings in your analysis that advance new understanding about the research problem, that are unusual or unexpected, or that have important implications applied to practice.
Summarizing your thoughts and conveying the larger significance of your study . The conclusion is an opportunity to succinctly re-emphasize your answer to the "So What?" question by placing the study within the context of how your research advances past research about the topic.
Identifying how a gap in the literature has been addressed . The conclusion can be where you describe how a previously identified gap in the literature [first identified in your literature review section] has been addressed by your research and why this contribution is significant.
Demonstrating the importance of your ideas . Don't be shy. The conclusion offers an opportunity to elaborate on the impact and significance of your findings. This is particularly important if your study approached examining the research problem from an unusual or innovative perspective.
Introducing possible new or expanded ways of thinking about the research problem . This does not refer to introducing new information [which should be avoided], but to offer new insight and creative approaches for framing or contextualizing the research problem based on the results of your study.

Bunton, David. “The Structure of PhD Conclusion Chapters.” Journal of English for Academic Purposes 4 (July 2005): 207–224; Conclusions. The Writing Center. University of North Carolina; Kretchmer, Paul. Twelve Steps to Writing an Effective Conclusion. San Francisco Edit, 2003-2008; Conclusions. The Writing Lab and The OWL. Purdue University; Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8.

Structure and Writing Style

I. General Rules

The general function of your paper's conclusion is to restate the main argument . It reminds the reader of the strengths of your main argument(s) and reiterates the most important evidence supporting those argument(s). Do this by clearly summarizing the context, background, and necessity of pursuing the research problem you investigated in relation to an issue, controversy, or a gap found in the literature. However, make sure that your conclusion is not simply a repetitive summary of the findings. This reduces the impact of the argument(s) you have developed in your paper.

When writing the conclusion to your paper, follow these general rules:

Present your conclusions in clear, concise language. Re-state the purpose of your study, then describe how your findings differ or support those of other studies and why [i.e., what were the unique, new, or crucial contributions your study made to the overall research about your topic?].
Do not simply reiterate your findings or the discussion of your results. Provide a synthesis of arguments presented in the paper to show how these converge to address the research problem and the overall objectives of your study.
Indicate opportunities for future research if you haven't already done so in the discussion section of your paper. Highlighting the need for further research provides the reader with evidence that you have an in-depth awareness of the research problem but that further investigations should take place beyond the scope of your investigation.

Consider the following points to help ensure your conclusion is presented well:

If the argument or purpose of your paper is complex, you may need to summarize the argument for your reader.
If, prior to your conclusion, you have not yet explained the significance of your findings or if you are proceeding inductively, use the end of your paper to describe your main points and explain their significance.
Move from a detailed to a general level of consideration that returns the topic to the context provided by the introduction or within a new context that emerges from the data [this is opposite of the introduction, which begins with general discussion of the context and ends with a detailed description of the research problem].

The conclusion also provides a place for you to persuasively and succinctly restate the research problem, given that the reader has now been presented with all the information about the topic . Depending on the discipline you are writing in, the concluding paragraph may contain your reflections on the evidence presented. However, the nature of being introspective about the research you have conducted will depend on the topic and whether your professor wants you to express your observations in this way. If asked to think introspectively about the topics, do not delve into idle speculation. Being introspective means looking within yourself as an author to try and understand an issue more deeply, not to guess at possible outcomes or make up scenarios not supported by the evidence.

II. Developing a Compelling Conclusion

Although an effective conclusion needs to be clear and succinct, it does not need to be written passively or lack a compelling narrative. Strategies to help you move beyond merely summarizing the key points of your research paper may include any of the following:

If your essay deals with a critical, contemporary problem, warn readers of the possible consequences of not attending to the problem proactively.
Recommend a specific course or courses of action that, if adopted, could address a specific problem in practice or in the development of new knowledge leading to positive change.
Cite a relevant quotation or expert opinion already noted in your paper in order to lend authority and support to the conclusion(s) you have reached [a good source would be from your literature review].
Explain the consequences of your research in a way that elicits action or demonstrates urgency in seeking change.
Restate a key statistic, fact, or visual image to emphasize the most important finding of your paper.
If your discipline encourages personal reflection, illustrate your concluding point by drawing from your own life experiences.
Return to an anecdote, an example, or a quotation that you presented in your introduction, but add further insight derived from the findings of your study; use your interpretation of results from your study to recast it in new or important ways.
Provide a "take-home" message in the form of a succinct, declarative statement that you want the reader to remember about your study.

III. Problems to Avoid

Failure to be concise Your conclusion section should be concise and to the point. Conclusions that are too lengthy often have unnecessary information in them. The conclusion is not the place for details about your methodology or results. Although you should give a summary of what was learned from your research, this summary should be relatively brief, since the emphasis in the conclusion is on the implications, evaluations, insights, and other forms of analysis that you make. Strategies for writing concisely can be found here .

Failure to comment on larger, more significant issues In the introduction, your task was to move from the general [the field of study] to the specific [the research problem]. However, in the conclusion, your task is to move from a specific discussion [your research problem] back to a general discussion framed around the implications and significance of your findings [i.e., how your research contributes new understanding or fills an important gap in the literature]. In short, the conclusion is where you should place your research within a larger context [visualize your paper as an hourglass--start with a broad introduction and review of the literature, move to the specific analysis and discussion, conclude with a broad summary of the study's implications and significance].

Failure to reveal problems and negative results Negative aspects of the research process should never be ignored. These are problems, deficiencies, or challenges encountered during your study. They should be summarized as a way of qualifying your overall conclusions. If you encountered negative or unintended results [i.e., findings that are validated outside the research context in which they were generated], you must report them in the results section and discuss their implications in the discussion section of your paper. In the conclusion, use negative results as an opportunity to explain their possible significance and/or how they may form the basis for future research.

Failure to provide a clear summary of what was learned In order to be able to discuss how your research fits within your field of study [and possibly the world at large], you need to summarize briefly and succinctly how it contributes to new knowledge or a new understanding about the research problem. This element of your conclusion may be only a few sentences long.

Failure to match the objectives of your research Often research objectives in the social and behavioral sciences change while the research is being carried out. This is not a problem unless you forget to go back and refine the original objectives in your introduction. As these changes emerge they must be documented so that they accurately reflect what you were trying to accomplish in your research [not what you thought you might accomplish when you began].

Resist the urge to apologize If you've immersed yourself in studying the research problem, you presumably should know a good deal about it [perhaps even more than your professor!]. Nevertheless, by the time you have finished writing, you may be having some doubts about what you have produced. Repress those doubts! Don't undermine your authority as a researcher by saying something like, "This is just one approach to examining this problem; there may be other, much better approaches that...." The overall tone of your conclusion should convey confidence to the reader about the study's validity and realiability.

Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8; Concluding Paragraphs. College Writing Center at Meramec. St. Louis Community College; Conclusions. The Writing Center. University of North Carolina; Conclusions. The Writing Lab and The OWL. Purdue University; Freedman, Leora and Jerry Plotnick. Introductions and Conclusions. The Lab Report. University College Writing Centre. University of Toronto; Leibensperger, Summer. Draft Your Conclusion. Academic Center, the University of Houston-Victoria, 2003; Make Your Last Words Count. The Writer’s Handbook. Writing Center. University of Wisconsin Madison; Miquel, Fuster-Marquez and Carmen Gregori-Signes. “Chapter Six: ‘Last but Not Least:’ Writing the Conclusion of Your Paper.” In Writing an Applied Linguistics Thesis or Dissertation: A Guide to Presenting Empirical Research . John Bitchener, editor. (Basingstoke,UK: Palgrave Macmillan, 2010), pp. 93-105; Tips for Writing a Good Conclusion. Writing@CSU. Colorado State University; Kretchmer, Paul. Twelve Steps to Writing an Effective Conclusion. San Francisco Edit, 2003-2008; Writing Conclusions. Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Writing: Considering Structure and Organization. Institute for Writing Rhetoric. Dartmouth College.

Writing Tip

Don't Belabor the Obvious!

Avoid phrases like "in conclusion...," "in summary...," or "in closing...." These phrases can be useful, even welcome, in oral presentations. But readers can see by the tell-tale section heading and number of pages remaining that they are reaching the end of your paper. You'll irritate your readers if you belabor the obvious.

Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8.

Another Writing Tip

New Insight, Not New Information!

Don't surprise the reader with new information in your conclusion that was never referenced anywhere else in the paper. This why the conclusion rarely has citations to sources. If you have new information to present, add it to the discussion or other appropriate section of the paper. Note that, although no new information is introduced, the conclusion, along with the discussion section, is where you offer your most "original" contributions in the paper; the conclusion is where you describe the value of your research, demonstrate that you understand the material that you’ve presented, and position your findings within the larger context of scholarship on the topic, including describing how your research contributes new insights to that scholarship.

Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8; Conclusions. The Writing Center. University of North Carolina.

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

Dissertation structure and layout - the basics

The Caveat

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.

Overview: S tructuring a dissertation or thesis

Acknowledgements page
Abstract (or executive summary)
Table of contents , list of figures and tables
Chapter 1: Introduction
Chapter 2: Literature review
Chapter 3: Methodology
Chapter 4: Results
Chapter 5: Discussion
Chapter 6: Conclusion
Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

The introduction chapter presents the core research question and aims .
The literature review chapter assesses what the current research says about this question.
The methodology, results and discussion chapters go about undertaking new research about this question.
The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

A dissertation's structure reflect the research process

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

Succinct (not overly lengthy or verbose)
Specific (not vague or ambiguous)
Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

The broader area of the research (i.e. the overarching topic)
The specific focus of your research (i.e. your specific context)
Indication of research design (e.g. quantitative , qualitative , or mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

Your dissertation supervisor or committee.
Any professors, lecturers or academics that helped you understand the topic or methodologies.
Any tutors, mentors or advisors.
Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

Your research questions and aims – what key question(s) did your research aim to answer?
Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
Your findings – following your own research, what did do you discover?
Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

What will you be investigating (in plain-language, big picture-level)?
Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
What is the scope of your study? In other words, what will and won’t you cover ?
How will you approach your research? In other words, what methodology will you adopt?
How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

What does the literature currently say about the topic you’re investigating?
Is the literature lacking or well established? Is it divided or in disagreement?
How does your research fit into the bigger picture?
How does your research contribute something original?
How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

Exactly HOW will you carry out your research (i.e. what is your intended research design)?
Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings . In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the Grad Coach Blog .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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The acknowledgements section of a thesis/dissertation

36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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Key Differences

Know the Differences & Comparisons

Difference Between Summary and Conclusion

In the absence of conclusion, the research paper might seem incomplete. It is often contrasted with a summary, but there are subtle differences between the two. A summary is nothing but a short and clear account of the text, covering the main points, facts or elements only.

Content: Summary Vs Conclusion

Comparison chart, definition of summary.

A summary is the compact account of the main text, i.e. an article, essay, drama, or some other form of literature. It gives an overview of the key points of the piece of writing. Moreover, one can also summarize anything which he/she has seen and heard, like speech, movie or lecture, etc.

It is typically about 5% to 15% of the original work, i.e. it may extend up to one to three paragraphs, which is around 100 to 300 words. It simply depends on the length of the text which is summarized. Its aim is to describe a piece of writing while including considerably less content than its original.

Ideal Summary

An ideal summary is one that objectively highlights the entire form of literature.
It should cover the focal point of every paragraph and the evidence supporting it.
It should exclude all the irrelevant examples, details and information.
It can make use of the keywords used in the original work, but should not use the same sentences and phrases, except if quotation marks are used.
It must express the sense of the original work while using your own words and sentences.

Definition of Conclsuion

Conclusion refers to the epilogue which is given at the end of something, to deduce the findings. It forms part of the thought process, which combines all the points discussed, so as to reach a comprehensive idea or statement.

It is the final step in the process of reasoning, in which judgement, decision or opinion is formed after complete investigation and consideration. To conclude something, different types of perspectives are considered. It is only 10% of the research paper, which has two segments – summary and final thought .

Ideal Conclusion

The conclusion is said to be ideal when it gives an interesting insight and should end on a positive note.
Highlights the main argument presented in the piece of writing.
Sums up the answer to the question, often stated in the introduction.
Refer back the questions, states the key points and findings, and wind up the discussion with the final observation.
Reinforces the primary theme of the study.
Makes a strong and long-lasting impression on the reader.
It should never introduce new points.

Key Differences Between Summary and Conclusion

The points stated below discuss the differences between summary and conclusion:

A summary is an abridgement of the work of literature, which covers the key points succinctly. On the contrary, conclusion refers to the final part of the discourse which sums up the argument and gives a statement of opinion or judgement.
A summary is written to provide the reader with a precise and objective narrative of the central ideas and aspects of the original text. Conversely, conclusion paragraph wraps up the text and presents the reader that you have accomplished, what you have set forth in the beginning.
While a summary restates the facts and elements, which are discussed in the original text, conclusion tends to synthesize all the points and wrap up the discussion. It helps the reader understand the importance of the research.
Ideally, the length of the summary is 5% to 15%, whereas the conclusion constitutes only 10% of the original work.
A summary often demonstrates the central ideas of the text clearly and concisely. In contrast, the conclusion introduces a new outlook, proposes a course of actions, provides a solution to the problem, makes suggestions for further study, and makes deductions on the basis of the argument.
A summary only includes the ideas of the original text. One should not insert their opinion, criticism, comments or interpretations. As against, the conclusion can include the researcher’s or writer’s views, ideas and criticisms at the end.

In a nutshell, a summary condenses the material as well as it informs the reader about the vital points. Contrastingly, a conclusion gives the reader the sense of completeness of the argument or topic, with a reason or final thought. It focuses on the final outcome of the argumentation or research.

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How to Write a Good Conclusion (With Examples)

Smodin Editorial Team
Published: May 31, 2024

Students often spend a great deal of time crafting essay introductions while leaving the conclusion as an afterthought. While the introduction is one of the most vital aspects of an essay, a good conclusion can have just as much of an impact on its effectiveness. Knowing how to write a good conclusion is crucial, as it encapsulates your main points and leaves a lasting impression on the reader.

A well-crafted conclusion should serve as the final pitch for your arguments. Your reader should walk away with a clear understanding of what they just read and how it applies to the core of your thesis. With the right approach, your conclusion can transform a good essay into a great one, making it both memorable and impactful.

This article will guide you through four simple steps of writing compelling conclusions. Each step is designed to help you reinforce your thesis and articulate your final thoughts in a way that will resonate with your teacher or professor. With a bit of practice, you can learn how to stick the landing and give every essay the finale it deserves.

What Is the Purpose of the Conclusion Paragraph?

Understanding the purpose of the conclusion paragraph is essential for effective essay writing. The conclusion paragraph should be more than just a summary of your essay. It should consolidate all your arguments and tie them back to your thesis.

Remember, all good writing inspires emotion. Whether to inspire, provoke, or engage is up to you, but the conclusion should always leave a lasting impression.

If in doubt, Smodin’s AI Chat tool can be handy for gauging the emotional impact of your conclusion.

By mastering the art of writing a powerful conclusion, you equip yourself with the tools to ensure your essays stand out. Whether it’s the first or last essay you’re writing for the class, it’s your chance to leave a definitive mark on your reader.

How to Write a Good Conclusion

This approach ensures your conclusion adds value and reinforces your arguments’ coherence. Here are three simple and effective practices to help you craft a solid conclusion.

Restating Your Thesis

Restating your thesis in the conclusion is a common practice in essay writing, and for good reason. It helps underscore how your understanding has deepened or shifted based on the evidence you provided.

Just understand that a restatement of your original thesis doesn’t mean a complete word-for-word repeat. You should rephrase your original thesis so that it elucidates the insights you touched on throughout the essay. Smodin’s AI Rewriter can help refine your restatement to ensure it is fresh and impactful.

Here are a few tips to effectively restate your thesis

Show Complexity : If your essay added layers or nuances to the original statement, be sure to articulate that clearly.
Integrate Key Findings : Incorporate the main findings of your essay to reinforce how they supported or refined your thesis.
Keep It Fresh : Again, you want to avoid repeating the same things twice. Use different wording that reflects a nuanced perspective.

Finally, always ensure that the restated thesis connects seamlessly with the rest of your essay. Always try to showcase the coherence of your writing to provide the reader with a strong sense of closure.

Using AI tools like Smodin’s Outliner and Essay Writer can ensure your writing flows smoothly and is easy to follow.

Providing an Effective Synthesis

Providing an effective synthesis should enhance your original thesis. All good arguments should evolve and shift throughout the essay. Rather than simply summarizing these findings, you should integrate critical insights and evidence to demonstrate a deeper or more nuanced understanding.

Draw connections between the main points discussed and show how they collectively support your thesis. Also, reflect on the implications of these insights for the broader context of your subject. And once again, always use fresh and engaging language to maintain the reader’s interest.

The last thing you want is for your reader to view your essay as a collection of individual points. A good essay should read as a unified whole, with all the pieces tying together naturally. You affirm your argument’s significance when you tie all the pieces together in your conclusion.

Providing New Insights

provide insights when writing conclusion paragraph

Also, think of this step as your opportunity to propose future research directions based on your findings. What could a student or researcher study next? What unanswered questions remain? If you’re having trouble answering these questions, consider using Smodin’s research tools to expand your knowledge of the topic.

That isn’t to say you can leave open-ended or unanswered questions about your own thesis. On the contrary, your conclusion should firmly establish the validity of your argument. That said, any deep and insightful analysis naturally leads to further exploration. Draw attention to these potential areas of inquiry.

(Optional) Form a Personal Connection With the Reader

Forming a connection with the reader in the conclusion can personalize and strengthen the impact of your essay. This technique can be powerful if implemented correctly, making your writing more relatable, human, and memorable.

That said, slime academics discourage using “I” in formal essays. It’s always best to clarify your teacher’s or professor’s stance before submitting your final draft.

If it is allowed, consider sharing a brief personal reflection or anecdote that ties back to the main themes of your essay. A personal touch can go a long way toward humanizing your arguments and creating a connection with the reader.

Whatever you choose, remember that your conclusion should always complement the analytical findings of your essay. Never say anything that detracts from your thesis or the findings you presented.

Examples of Good Conclusions

Let’s explore some examples to illustrate what a well-crafted conclusion looks and sounds like. The following are two hypothetical thesis essays from the fields of science and literature.

Thesis Topic: The Impact of Climate Change on Coral Reefs
Introduction: “Coral reefs act as the guardians of the ocean’s biodiversity. These underwater ecosystems are among the most vibrant and essential on the entire planet. However, the escalating impact of climate change poses a severe threat to their health and survival. This essay aims to dissect specific environmental changes contributing to coral degradation while proposing measures for mitigation.”
Conclusion: “This investigation into the impact of climate change on coral reefs has revealed a disturbing acceleration of coral bleaching events and a significant decline of reef biodiversity. The findings presented in this study establish a clear link between increased sea temperatures and coral reef mortality. Future research should focus on the resilience mechanisms of coral species that could influence conservation strategies. The fate of the coral reefs depends on humanity’s immediate and concentrated action to curb global emissions and preserve these vital ecosystems for future generations.”

Notice how the conclusion doesn’t simply restate the thesis. Instead, it highlights the definitive connection between climate change and coral health. It also reiterates the issue’s urgency and extends a call of action for ongoing intervention. The last sentence is direct, to the point, and leaves a lasting impression on the reader.

If you’re struggling with your closing sentence (or any sentence, for that matter), Smodin’s Rewriter can create hundreds of different sentences in seconds. Then, choose the sentences and phrases that resonate the most and use them to craft a compelling conclusion.

Thesis Topic: The Evolution of the American Dream in 20th-Century American Literature
Introduction: “The American Dream was once defined by prosperity and success. However, throughout the 20th century, the representation of the American Dream in popular literature has undergone significant changes. Are these representations indicative of a far-reaching sentiment that lay dormant among the American public? Or were these works simply the result of disillusioned writers responding to the evolving challenges of the times?”
Conclusion: “Works by F. Scott Fitzgerald, John Steinbeck, and Toni Morrison illustrate the American Dream’s evolution from unbridled optimism to a more critical examination of the American ethos. Throughout modernist and post-modernist literature, the American Dream is often at odds with core American values. These novels reflect broader societal shifts that continue to shape the national consciousness. Further research into contemporary literature could provide greater insight into the complexities of this concept.”

You will know exactly what this essay covers by reading the introduction and conclusion alone. It summarizes the evolution of the American Dream by examining the works of three unique authors. It then analyzes these works to demonstrate how they reflect broader societal shifts. The conclusion works as both a capstone and a bridge to set the stage for future inquiries.

Write Better Conclusions With Smodin

Always remember the human element behind the grading process when crafting your essay. Your teachers or professors are human and have likely spent countless hours reviewing essays on similar topics. The grading process can be long and exhaustive. Your conclusion should aim to make their task easier, not harder.

A well-crafted conclusion serves as the final piece to your argument. It should recap the critical insights discussed above while shedding new light on the topic. By including innovative elements and insightful observations, your conclusion will help your essay stand out from the crowd.

Make sure your essay ends on a high note to maximize your chances of getting a better grade now and in the future. Smodin’s comprehensive suite of AI tools can help you enhance every aspect of your essay writing. From initial research to structuring, these tools can streamline the process and improve the quality of your essays.

Home — Essay Samples — Literature — Beowulf — Beowulf: The Enigmatic Intersection of Mythology and Heroism

Beowulf: The Enigmatic Intersection of Mythology and Heroism

Categories: Beowulf Mythology

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Published: Jun 6, 2024

Words: 816 | Pages: 2 | 5 min read

Mythological underpinnings, the role of fate and destiny, symbolism and allegory.

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Published: 03 June 2024

Applying large language models for automated essay scoring for non-native Japanese

Wenchao Li 1 &
Haitao Liu 2

Humanities and Social Sciences Communications volume 11 , Article number: 723 ( 2024 ) Cite this article

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Language and linguistics

Recent advancements in artificial intelligence (AI) have led to an increased use of large language models (LLMs) for language assessment tasks such as automated essay scoring (AES), automated listening tests, and automated oral proficiency assessments. The application of LLMs for AES in the context of non-native Japanese, however, remains limited. This study explores the potential of LLM-based AES by comparing the efficiency of different models, i.e. two conventional machine training technology-based methods (Jess and JWriter), two LLMs (GPT and BERT), and one Japanese local LLM (Open-Calm large model). To conduct the evaluation, a dataset consisting of 1400 story-writing scripts authored by learners with 12 different first languages was used. Statistical analysis revealed that GPT-4 outperforms Jess and JWriter, BERT, and the Japanese language-specific trained Open-Calm large model in terms of annotation accuracy and predicting learning levels. Furthermore, by comparing 18 different models that utilize various prompts, the study emphasized the significance of prompts in achieving accurate and reliable evaluations using LLMs.

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Testing theory of mind in large language models and humans

Highly accurate protein structure prediction with AlphaFold

Conventional machine learning technology in aes.

AES has experienced significant growth with the advancement of machine learning technologies in recent decades. In the earlier stages of AES development, conventional machine learning-based approaches were commonly used. These approaches involved the following procedures: a) feeding the machine with a dataset. In this step, a dataset of essays is provided to the machine learning system. The dataset serves as the basis for training the model and establishing patterns and correlations between linguistic features and human ratings. b) the machine learning model is trained using linguistic features that best represent human ratings and can effectively discriminate learners’ writing proficiency. These features include lexical richness (Lu, 2012 ; Kyle and Crossley, 2015 ; Kyle et al. 2021 ), syntactic complexity (Lu, 2010 ; Liu, 2008 ), text cohesion (Crossley and McNamara, 2016 ), and among others. Conventional machine learning approaches in AES require human intervention, such as manual correction and annotation of essays. This human involvement was necessary to create a labeled dataset for training the model. Several AES systems have been developed using conventional machine learning technologies. These include the Intelligent Essay Assessor (Landauer et al. 2003 ), the e-rater engine by Educational Testing Service (Attali and Burstein, 2006 ; Burstein, 2003 ), MyAccess with the InterlliMetric scoring engine by Vantage Learning (Elliot, 2003 ), and the Bayesian Essay Test Scoring system (Rudner and Liang, 2002 ). These systems have played a significant role in automating the essay scoring process and providing quick and consistent feedback to learners. However, as touched upon earlier, conventional machine learning approaches rely on predetermined linguistic features and often require manual intervention, making them less flexible and potentially limiting their generalizability to different contexts.

In the context of the Japanese language, conventional machine learning-incorporated AES tools include Jess (Ishioka and Kameda, 2006 ) and JWriter (Lee and Hasebe, 2017 ). Jess assesses essays by deducting points from the perfect score, utilizing the Mainichi Daily News newspaper as a database. The evaluation criteria employed by Jess encompass various aspects, such as rhetorical elements (e.g., reading comprehension, vocabulary diversity, percentage of complex words, and percentage of passive sentences), organizational structures (e.g., forward and reverse connection structures), and content analysis (e.g., latent semantic indexing). JWriter employs linear regression analysis to assign weights to various measurement indices, such as average sentence length and total number of characters. These weights are then combined to derive the overall score. A pilot study involving the Jess model was conducted on 1320 essays at different proficiency levels, including primary, intermediate, and advanced. However, the results indicated that the Jess model failed to significantly distinguish between these essay levels. Out of the 16 measures used, four measures, namely median sentence length, median clause length, median number of phrases, and maximum number of phrases, did not show statistically significant differences between the levels. Additionally, two measures exhibited between-level differences but lacked linear progression: the number of attributives declined words and the Kanji/kana ratio. On the other hand, the remaining measures, including maximum sentence length, maximum clause length, number of attributive conjugated words, maximum number of consecutive infinitive forms, maximum number of conjunctive-particle clauses, k characteristic value, percentage of big words, and percentage of passive sentences, demonstrated statistically significant between-level differences and displayed linear progression.

Both Jess and JWriter exhibit notable limitations, including the manual selection of feature parameters and weights, which can introduce biases into the scoring process. The reliance on human annotators to label non-native language essays also introduces potential noise and variability in the scoring. Furthermore, an important concern is the possibility of system manipulation and cheating by learners who are aware of the regression equation utilized by the models (Hirao et al. 2020 ). These limitations emphasize the need for further advancements in AES systems to address these challenges.

Deep learning technology in AES

Deep learning has emerged as one of the approaches for improving the accuracy and effectiveness of AES. Deep learning-based AES methods utilize artificial neural networks that mimic the human brain’s functioning through layered algorithms and computational units. Unlike conventional machine learning, deep learning autonomously learns from the environment and past errors without human intervention. This enables deep learning models to establish nonlinear correlations, resulting in higher accuracy. Recent advancements in deep learning have led to the development of transformers, which are particularly effective in learning text representations. Noteworthy examples include bidirectional encoder representations from transformers (BERT) (Devlin et al. 2019 ) and the generative pretrained transformer (GPT) (OpenAI).

BERT is a linguistic representation model that utilizes a transformer architecture and is trained on two tasks: masked linguistic modeling and next-sentence prediction (Hirao et al. 2020 ; Vaswani et al. 2017 ). In the context of AES, BERT follows specific procedures, as illustrated in Fig. 1 : (a) the tokenized prompts and essays are taken as input; (b) special tokens, such as [CLS] and [SEP], are added to mark the beginning and separation of prompts and essays; (c) the transformer encoder processes the prompt and essay sequences, resulting in hidden layer sequences; (d) the hidden layers corresponding to the [CLS] tokens (T[CLS]) represent distributed representations of the prompts and essays; and (e) a multilayer perceptron uses these distributed representations as input to obtain the final score (Hirao et al. 2020 ).

AES system with BERT (Hirao et al. 2020 ).

The training of BERT using a substantial amount of sentence data through the Masked Language Model (MLM) allows it to capture contextual information within the hidden layers. Consequently, BERT is expected to be capable of identifying artificial essays as invalid and assigning them lower scores (Mizumoto and Eguchi, 2023 ). In the context of AES for nonnative Japanese learners, Hirao et al. ( 2020 ) combined the long short-term memory (LSTM) model proposed by Hochreiter and Schmidhuber ( 1997 ) with BERT to develop a tailored automated Essay Scoring System. The findings of their study revealed that the BERT model outperformed both the conventional machine learning approach utilizing character-type features such as “kanji” and “hiragana”, as well as the standalone LSTM model. Takeuchi et al. ( 2021 ) presented an approach to Japanese AES that eliminates the requirement for pre-scored essays by relying solely on reference texts or a model answer for the essay task. They investigated multiple similarity evaluation methods, including frequency of morphemes, idf values calculated on Wikipedia, LSI, LDA, word-embedding vectors, and document vectors produced by BERT. The experimental findings revealed that the method utilizing the frequency of morphemes with idf values exhibited the strongest correlation with human-annotated scores across different essay tasks. The utilization of BERT in AES encounters several limitations. Firstly, essays often exceed the model’s maximum length limit. Second, only score labels are available for training, which restricts access to additional information.

Mizumoto and Eguchi ( 2023 ) were pioneers in employing the GPT model for AES in non-native English writing. Their study focused on evaluating the accuracy and reliability of AES using the GPT-3 text-davinci-003 model, analyzing a dataset of 12,100 essays from the corpus of nonnative written English (TOEFL11). The findings indicated that AES utilizing the GPT-3 model exhibited a certain degree of accuracy and reliability. They suggest that GPT-3-based AES systems hold the potential to provide support for human ratings. However, applying GPT model to AES presents a unique natural language processing (NLP) task that involves considerations such as nonnative language proficiency, the influence of the learner’s first language on the output in the target language, and identifying linguistic features that best indicate writing quality in a specific language. These linguistic features may differ morphologically or syntactically from those present in the learners’ first language, as observed in (1)–(3).

我-送了-他-一本-书

Wǒ-sòngle-tā-yī běn-shū

1 sg .-give. past- him-one .cl- book

“I gave him a book.”

Agglutinative

彼-に-本-を-あげ-まし-た

Kare-ni-hon-o-age-mashi-ta

3 sg .- dat -hon- acc- give.honorification. past

Inflectional

give, give-s, gave, given, giving

Additionally, the morphological agglutination and subject-object-verb (SOV) order in Japanese, along with its idiomatic expressions, pose additional challenges for applying language models in AES tasks (4).

足-が棒-になり-ました

Ashi-ga bo-ni nar-mashita

leg- nom stick- dat become- past

“My leg became like a stick (I am extremely tired).”

The example sentence provided demonstrates the morpho-syntactic structure of Japanese and the presence of an idiomatic expression. In this sentence, the verb “なる” (naru), meaning “to become”, appears at the end of the sentence. The verb stem “なり” (nari) is attached with morphemes indicating honorification (“ます” - mashu) and tense (“た” - ta), showcasing agglutination. While the sentence can be literally translated as “my leg became like a stick”, it carries an idiomatic interpretation that implies “I am extremely tired”.

To overcome this issue, CyberAgent Inc. ( 2023 ) has developed the Open-Calm series of language models specifically designed for Japanese. Open-Calm consists of pre-trained models available in various sizes, such as Small, Medium, Large, and 7b. Figure 2 depicts the fundamental structure of the Open-Calm model. A key feature of this architecture is the incorporation of the Lora Adapter and GPT-NeoX frameworks, which can enhance its language processing capabilities.

GPT-NeoX Model Architecture (Okgetheng and Takeuchi 2024 ).

In a recent study conducted by Okgetheng and Takeuchi ( 2024 ), they assessed the efficacy of Open-Calm language models in grading Japanese essays. The research utilized a dataset of approximately 300 essays, which were annotated by native Japanese educators. The findings of the study demonstrate the considerable potential of Open-Calm language models in automated Japanese essay scoring. Specifically, among the Open-Calm family, the Open-Calm Large model (referred to as OCLL) exhibited the highest performance. However, it is important to note that, as of the current date, the Open-Calm Large model does not offer public access to its server. Consequently, users are required to independently deploy and operate the environment for OCLL. In order to utilize OCLL, users must have a PC equipped with an NVIDIA GeForce RTX 3060 (8 or 12 GB VRAM).

In summary, while the potential of LLMs in automated scoring of nonnative Japanese essays has been demonstrated in two studies—BERT-driven AES (Hirao et al. 2020 ) and OCLL-based AES (Okgetheng and Takeuchi, 2024 )—the number of research efforts in this area remains limited.

Another significant challenge in applying LLMs to AES lies in prompt engineering and ensuring its reliability and effectiveness (Brown et al. 2020 ; Rae et al. 2021 ; Zhang et al. 2021 ). Various prompting strategies have been proposed, such as the zero-shot chain of thought (CoT) approach (Kojima et al. 2022 ), which involves manually crafting diverse and effective examples. However, manual efforts can lead to mistakes. To address this, Zhang et al. ( 2021 ) introduced an automatic CoT prompting method called Auto-CoT, which demonstrates matching or superior performance compared to the CoT paradigm. Another prompt framework is trees of thoughts, enabling a model to self-evaluate its progress at intermediate stages of problem-solving through deliberate reasoning (Yao et al. 2023 ).

Beyond linguistic studies, there has been a noticeable increase in the number of foreign workers in Japan and Japanese learners worldwide (Ministry of Health, Labor, and Welfare of Japan, 2022 ; Japan Foundation, 2021 ). However, existing assessment methods, such as the Japanese Language Proficiency Test (JLPT), J-CAT, and TTBJ Footnote 1 , primarily focus on reading, listening, vocabulary, and grammar skills, neglecting the evaluation of writing proficiency. As the number of workers and language learners continues to grow, there is a rising demand for an efficient AES system that can reduce costs and time for raters and be utilized for employment, examinations, and self-study purposes.

This study aims to explore the potential of LLM-based AES by comparing the effectiveness of five models: two LLMs (GPT Footnote 2 and BERT), one Japanese local LLM (OCLL), and two conventional machine learning-based methods (linguistic feature-based scoring tools - Jess and JWriter).

The research questions addressed in this study are as follows:

To what extent do the LLM-driven AES and linguistic feature-based AES, when used as automated tools to support human rating, accurately reflect test takers’ actual performance?

What influence does the prompt have on the accuracy and performance of LLM-based AES methods?

The subsequent sections of the manuscript cover the methodology, including the assessment measures for nonnative Japanese writing proficiency, criteria for prompts, and the dataset. The evaluation section focuses on the analysis of annotations and rating scores generated by LLM-driven and linguistic feature-based AES methods.

Methodology

The dataset utilized in this study was obtained from the International Corpus of Japanese as a Second Language (I-JAS) Footnote 3 . This corpus consisted of 1000 participants who represented 12 different first languages. For the study, the participants were given a story-writing task on a personal computer. They were required to write two stories based on the 4-panel illustrations titled “Picnic” and “The key” (see Appendix A). Background information for the participants was provided by the corpus, including their Japanese language proficiency levels assessed through two online tests: J-CAT and SPOT. These tests evaluated their reading, listening, vocabulary, and grammar abilities. The learners’ proficiency levels were categorized into six levels aligned with the Common European Framework of Reference for Languages (CEFR) and the Reference Framework for Japanese Language Education (RFJLE): A1, A2, B1, B2, C1, and C2. According to Lee et al. ( 2015 ), there is a high level of agreement (r = 0.86) between the J-CAT and SPOT assessments, indicating that the proficiency certifications provided by J-CAT are consistent with those of SPOT. However, it is important to note that the scores of J-CAT and SPOT do not have a one-to-one correspondence. In this study, the J-CAT scores were used as a benchmark to differentiate learners of different proficiency levels. A total of 1400 essays were utilized, representing the beginner (aligned with A1), A2, B1, B2, C1, and C2 levels based on the J-CAT scores. Table 1 provides information about the learners’ proficiency levels and their corresponding J-CAT and SPOT scores.

A dataset comprising a total of 1400 essays from the story writing tasks was collected. Among these, 714 essays were utilized to evaluate the reliability of the LLM-based AES method, while the remaining 686 essays were designated as development data to assess the LLM-based AES’s capability to distinguish participants with varying proficiency levels. The GPT 4 API was used in this study. A detailed explanation of the prompt-assessment criteria is provided in Section Prompt . All essays were sent to the model for measurement and scoring.

Measures of writing proficiency for nonnative Japanese

Japanese exhibits a morphologically agglutinative structure where morphemes are attached to the word stem to convey grammatical functions such as tense, aspect, voice, and honorifics, e.g. (5).

食べ-させ-られ-まし-た-か

tabe-sase-rare-mashi-ta-ka

[eat (stem)-causative-passive voice-honorification-tense. past-question marker]

Japanese employs nine case particles to indicate grammatical functions: the nominative case particle が (ga), the accusative case particle を (o), the genitive case particle の (no), the dative case particle に (ni), the locative/instrumental case particle で (de), the ablative case particle から (kara), the directional case particle へ (e), and the comitative case particle と (to). The agglutinative nature of the language, combined with the case particle system, provides an efficient means of distinguishing between active and passive voice, either through morphemes or case particles, e.g. 食べる taberu “eat concusive . ” (active voice); 食べられる taberareru “eat concusive . ” (passive voice). In the active voice, “パンを食べる” (pan o taberu) translates to “to eat bread”. On the other hand, in the passive voice, it becomes “パンが食べられた” (pan ga taberareta), which means “(the) bread was eaten”. Additionally, it is important to note that different conjugations of the same lemma are considered as one type in order to ensure a comprehensive assessment of the language features. For example, e.g., 食べる taberu “eat concusive . ”; 食べている tabeteiru “eat progress .”; 食べた tabeta “eat past . ” as one type.

To incorporate these features, previous research (Suzuki, 1999 ; Watanabe et al. 1988 ; Ishioka, 2001 ; Ishioka and Kameda, 2006 ; Hirao et al. 2020 ) has identified complexity, fluency, and accuracy as crucial factors for evaluating writing quality. These criteria are assessed through various aspects, including lexical richness (lexical density, diversity, and sophistication), syntactic complexity, and cohesion (Kyle et al. 2021 ; Mizumoto and Eguchi, 2023 ; Ure, 1971 ; Halliday, 1985 ; Barkaoui and Hadidi, 2020 ; Zenker and Kyle, 2021 ; Kim et al. 2018 ; Lu, 2017 ; Ortega, 2015 ). Therefore, this study proposes five scoring categories: lexical richness, syntactic complexity, cohesion, content elaboration, and grammatical accuracy. A total of 16 measures were employed to capture these categories. The calculation process and specific details of these measures can be found in Table 2 .

T-unit, first introduced by Hunt ( 1966 ), is a measure used for evaluating speech and composition. It serves as an indicator of syntactic development and represents the shortest units into which a piece of discourse can be divided without leaving any sentence fragments. In the context of Japanese language assessment, Sakoda and Hosoi ( 2020 ) utilized T-unit as the basic unit to assess the accuracy and complexity of Japanese learners’ speaking and storytelling. The calculation of T-units in Japanese follows the following principles:

A single main clause constitutes 1 T-unit, regardless of the presence or absence of dependent clauses, e.g. (6).

ケンとマリはピクニックに行きました (main clause): 1 T-unit.

If a sentence contains a main clause along with subclauses, each subclause is considered part of the same T-unit, e.g. (7).

天気が良かったので (subclause)、ケンとマリはピクニックに行きました (main clause): 1 T-unit.

In the case of coordinate clauses, where multiple clauses are connected, each coordinated clause is counted separately. Thus, a sentence with coordinate clauses may have 2 T-units or more, e.g. (8).

ケンは地図で場所を探して (coordinate clause)、マリはサンドイッチを作りました (coordinate clause): 2 T-units.

Lexical diversity refers to the range of words used within a text (Engber, 1995 ; Kyle et al. 2021 ) and is considered a useful measure of the breadth of vocabulary in L n production (Jarvis, 2013a , 2013b ).

The type/token ratio (TTR) is widely recognized as a straightforward measure for calculating lexical diversity and has been employed in numerous studies. These studies have demonstrated a strong correlation between TTR and other methods of measuring lexical diversity (e.g., Bentz et al. 2016 ; Čech and Miroslav, 2018 ; Çöltekin and Taraka, 2018 ). TTR is computed by considering both the number of unique words (types) and the total number of words (tokens) in a given text. Given that the length of learners’ writing texts can vary, this study employs the moving average type-token ratio (MATTR) to mitigate the influence of text length. MATTR is calculated using a 50-word moving window. Initially, a TTR is determined for words 1–50 in an essay, followed by words 2–51, 3–52, and so on until the end of the essay is reached (Díez-Ortega and Kyle, 2023 ). The final MATTR scores were obtained by averaging the TTR scores for all 50-word windows. The following formula was employed to derive MATTR:

${\rm{MATTR}}({\rm{W}})=\frac{{\sum }_{{\rm{i}}=1}^{{\rm{N}}-{\rm{W}}+1}{{\rm{F}}}_{{\rm{i}}}}{{\rm{W}}({\rm{N}}-{\rm{W}}+1)}$

Here, N refers to the number of tokens in the corpus. W is the randomly selected token size (W < N). ${F}_{i}$ is the number of types in each window. The ${\rm{MATTR}}({\rm{W}})$ is the mean of a series of type-token ratios (TTRs) based on the word form for all windows. It is expected that individuals with higher language proficiency will produce texts with greater lexical diversity, as indicated by higher MATTR scores.

Lexical density was captured by the ratio of the number of lexical words to the total number of words (Lu, 2012 ). Lexical sophistication refers to the utilization of advanced vocabulary, often evaluated through word frequency indices (Crossley et al. 2013 ; Haberman, 2008 ; Kyle and Crossley, 2015 ; Laufer and Nation, 1995 ; Lu, 2012 ; Read, 2000 ). In line of writing, lexical sophistication can be interpreted as vocabulary breadth, which entails the appropriate usage of vocabulary items across various lexicon-grammatical contexts and registers (Garner et al. 2019 ; Kim et al. 2018 ; Kyle et al. 2018 ). In Japanese specifically, words are considered lexically sophisticated if they are not included in the “Japanese Education Vocabulary List Ver 1.0”. Footnote 4 Consequently, lexical sophistication was calculated by determining the number of sophisticated word types relative to the total number of words per essay. Furthermore, it has been suggested that, in Japanese writing, sentences should ideally have a length of no more than 40 to 50 characters, as this promotes readability. Therefore, the median and maximum sentence length can be considered as useful indices for assessment (Ishioka and Kameda, 2006 ).

Syntactic complexity was assessed based on several measures, including the mean length of clauses, verb phrases per T-unit, clauses per T-unit, dependent clauses per T-unit, complex nominals per clause, adverbial clauses per clause, coordinate phrases per clause, and mean dependency distance (MDD). The MDD reflects the distance between the governor and dependent positions in a sentence. A larger dependency distance indicates a higher cognitive load and greater complexity in syntactic processing (Liu, 2008 ; Liu et al. 2017 ). The MDD has been established as an efficient metric for measuring syntactic complexity (Jiang, Quyang, and Liu, 2019 ; Li and Yan, 2021 ). To calculate the MDD, the position numbers of the governor and dependent are subtracted, assuming that words in a sentence are assigned in a linear order, such as W1 … Wi … Wn. In any dependency relationship between words Wa and Wb, Wa is the governor and Wb is the dependent. The MDD of the entire sentence was obtained by taking the absolute value of governor – dependent:

MDD = $\frac{1}{n}{\sum }_{i=1}^{n}|{\rm{D}}{{\rm{D}}}_{i}|$

In this formula, $n$ represents the number of words in the sentence, and ${DD}i$ is the dependency distance of the ${i}^{{th}}$ dependency relationship of a sentence. Building on this, the annotation of sentence ‘Mary-ga-John-ni-keshigomu-o-watashita was [Mary- top -John- dat -eraser- acc -give- past] ’. The sentence’s MDD would be 2. Table 3 provides the CSV file as a prompt for GPT 4.

Cohesion (semantic similarity) and content elaboration aim to capture the ideas presented in test taker’s essays. Cohesion was assessed using three measures: Synonym overlap/paragraph (topic), Synonym overlap/paragraph (keywords), and word2vec cosine similarity. Content elaboration and development were measured as the number of metadiscourse markers (type)/number of words. To capture content closely, this study proposed a novel-distance based representation, by encoding the cosine distance between the essay (by learner) and essay task’s (topic and keyword) i -vectors. The learner’s essay is decoded into a word sequence, and aligned to the essay task’ topic and keyword for log-likelihood measurement. The cosine distance reveals the content elaboration score in the leaners’ essay. The mathematical equation of cosine similarity between target-reference vectors is shown in (11), assuming there are i essays and ( L i , …. L n ) and ( N i , …. N n ) are the vectors representing the learner and task’s topic and keyword respectively. The content elaboration distance between L i and N i was calculated as follows:

$\cos \left(\theta \right)=\frac{{\rm{L}}\,\cdot\, {\rm{N}}}{\left|{\rm{L}}\right|{\rm{|N|}}}=\frac{\mathop{\sum }\nolimits_{i=1}^{n}{L}_{i}{N}_{i}}{\sqrt{\mathop{\sum }\nolimits_{i=1}^{n}{L}_{i}^{2}}\sqrt{\mathop{\sum }\nolimits_{i=1}^{n}{N}_{i}^{2}}}$

A high similarity value indicates a low difference between the two recognition outcomes, which in turn suggests a high level of proficiency in content elaboration.

To evaluate the effectiveness of the proposed measures in distinguishing different proficiency levels among nonnative Japanese speakers’ writing, we conducted a multi-faceted Rasch measurement analysis (Linacre, 1994 ). This approach applies measurement models to thoroughly analyze various factors that can influence test outcomes, including test takers’ proficiency, item difficulty, and rater severity, among others. The underlying principles and functionality of multi-faceted Rasch measurement are illustrated in (12).

$\log \left(\frac{{P}_{{nijk}}}{{P}_{{nij}(k-1)}}\right)={B}_{n}-{D}_{i}-{C}_{j}-{F}_{k}$

(12) defines the logarithmic transformation of the probability ratio ( P nijk /P nij(k-1) )) as a function of multiple parameters. Here, n represents the test taker, i denotes a writing proficiency measure, j corresponds to the human rater, and k represents the proficiency score. The parameter B n signifies the proficiency level of test taker n (where n ranges from 1 to N). D j represents the difficulty parameter of test item i (where i ranges from 1 to L), while C j represents the severity of rater j (where j ranges from 1 to J). Additionally, F k represents the step difficulty for a test taker to move from score ‘k-1’ to k . P nijk refers to the probability of rater j assigning score k to test taker n for test item i . P nij(k-1) represents the likelihood of test taker n being assigned score ‘k-1’ by rater j for test item i . Each facet within the test is treated as an independent parameter and estimated within the same reference framework. To evaluate the consistency of scores obtained through both human and computer analysis, we utilized the Infit mean-square statistic. This statistic is a chi-square measure divided by the degrees of freedom and is weighted with information. It demonstrates higher sensitivity to unexpected patterns in responses to items near a person’s proficiency level (Linacre, 2002 ). Fit statistics are assessed based on predefined thresholds for acceptable fit. For the Infit MNSQ, which has a mean of 1.00, different thresholds have been suggested. Some propose stricter thresholds ranging from 0.7 to 1.3 (Bond et al. 2021 ), while others suggest more lenient thresholds ranging from 0.5 to 1.5 (Eckes, 2009 ). In this study, we adopted the criterion of 0.70–1.30 for the Infit MNSQ.

Moving forward, we can now proceed to assess the effectiveness of the 16 proposed measures based on five criteria for accurately distinguishing various levels of writing proficiency among non-native Japanese speakers. To conduct this evaluation, we utilized the development dataset from the I-JAS corpus, as described in Section Dataset . Table 4 provides a measurement report that presents the performance details of the 14 metrics under consideration. The measure separation was found to be 4.02, indicating a clear differentiation among the measures. The reliability index for the measure separation was 0.891, suggesting consistency in the measurement. Similarly, the person separation reliability index was 0.802, indicating the accuracy of the assessment in distinguishing between individuals. All 16 measures demonstrated Infit mean squares within a reasonable range, ranging from 0.76 to 1.28. The Synonym overlap/paragraph (topic) measure exhibited a relatively high outfit mean square of 1.46, although the Infit mean square falls within an acceptable range. The standard error for the measures ranged from 0.13 to 0.28, indicating the precision of the estimates.

Table 5 further illustrated the weights assigned to different linguistic measures for score prediction, with higher weights indicating stronger correlations between those measures and higher scores. Specifically, the following measures exhibited higher weights compared to others: moving average type token ratio per essay has a weight of 0.0391. Mean dependency distance had a weight of 0.0388. Mean length of clause, calculated by dividing the number of words by the number of clauses, had a weight of 0.0374. Complex nominals per T-unit, calculated by dividing the number of complex nominals by the number of T-units, had a weight of 0.0379. Coordinate phrases rate, calculated by dividing the number of coordinate phrases by the number of clauses, had a weight of 0.0325. Grammatical error rate, representing the number of errors per essay, had a weight of 0.0322.

Criteria (output indicator)

The criteria used to evaluate the writing ability in this study were based on CEFR, which follows a six-point scale ranging from A1 to C2. To assess the quality of Japanese writing, the scoring criteria from Table 6 were utilized. These criteria were derived from the IELTS writing standards and served as assessment guidelines and prompts for the written output.

A prompt is a question or detailed instruction that is provided to the model to obtain a proper response. After several pilot experiments, we decided to provide the measures (Section Measures of writing proficiency for nonnative Japanese ) as the input prompt and use the criteria (Section Criteria (output indicator) ) as the output indicator. Regarding the prompt language, considering that the LLM was tasked with rating Japanese essays, would prompt in Japanese works better Footnote 5 ? We conducted experiments comparing the performance of GPT-4 using both English and Japanese prompts. Additionally, we utilized the Japanese local model OCLL with Japanese prompts. Multiple trials were conducted using the same sample. Regardless of the prompt language used, we consistently obtained the same grading results with GPT-4, which assigned a grade of B1 to the writing sample. This suggested that GPT-4 is reliable and capable of producing consistent ratings regardless of the prompt language. On the other hand, when we used Japanese prompts with the Japanese local model “OCLL”, we encountered inconsistent grading results. Out of 10 attempts with OCLL, only 6 yielded consistent grading results (B1), while the remaining 4 showed different outcomes, including A1 and B2 grades. These findings indicated that the language of the prompt was not the determining factor for reliable AES. Instead, the size of the training data and the model parameters played crucial roles in achieving consistent and reliable AES results for the language model.

The following is the utilized prompt, which details all measures and requires the LLM to score the essays using holistic and trait scores.

Please evaluate Japanese essays written by Japanese learners and assign a score to each essay on a six-point scale, ranging from A1, A2, B1, B2, C1 to C2. Additionally, please provide trait scores and display the calculation process for each trait score. The scoring should be based on the following criteria:

Moving average type-token ratio.

Number of lexical words (token) divided by the total number of words per essay.

Number of sophisticated word types divided by the total number of words per essay.

Mean length of clause.

Verb phrases per T-unit.

Clauses per T-unit.

Dependent clauses per T-unit.

Complex nominals per clause.

Adverbial clauses per clause.

Coordinate phrases per clause.

Mean dependency distance.

Synonym overlap paragraph (topic and keywords).

Word2vec cosine similarity.

Connectives per essay.

Conjunctions per essay.

Number of metadiscourse markers (types) divided by the total number of words.

Number of errors per essay.

Japanese essay text

出かける前に二人が地図を見ている間に、サンドイッチを入れたバスケットに犬が入ってしまいました。それに気づかずに二人は楽しそうに出かけて行きました。やがて突然犬がバスケットから飛び出し、二人は驚きました。バスケットの中を見ると、食べ物はすべて犬に食べられていて、二人は困ってしまいました。(ID_JJJ01_SW1)

The score of the example above was B1. Figure 3 provides an example of holistic and trait scores provided by GPT-4 (with a prompt indicating all measures) via Bing Footnote 6 .

Example of GPT-4 AES and feedback (with a prompt indicating all measures).

Statistical analysis

The aim of this study is to investigate the potential use of LLM for nonnative Japanese AES. It seeks to compare the scoring outcomes obtained from feature-based AES tools, which rely on conventional machine learning technology (i.e. Jess, JWriter), with those generated by AI-driven AES tools utilizing deep learning technology (BERT, GPT, OCLL). To assess the reliability of a computer-assisted annotation tool, the study initially established human-human agreement as the benchmark measure. Subsequently, the performance of the LLM-based method was evaluated by comparing it to human-human agreement.

To assess annotation agreement, the study employed standard measures such as precision, recall, and F-score (Brants 2000 ; Lu 2010 ), along with the quadratically weighted kappa (QWK) to evaluate the consistency and agreement in the annotation process. Assume A and B represent human annotators. When comparing the annotations of the two annotators, the following results are obtained. The evaluation of precision, recall, and F-score metrics was illustrated in equations (13) to (15).

${\rm{Recall}}(A,B)=\frac{{\rm{Number}}\,{\rm{of}}\,{\rm{identical}}\,{\rm{nodes}}\,{\rm{in}}\,A\,{\rm{and}}\,B}{{\rm{Number}}\,{\rm{of}}\,{\rm{nodes}}\,{\rm{in}}\,A}$

${\rm{Precision}}(A,\,B)=\frac{{\rm{Number}}\,{\rm{of}}\,{\rm{identical}}\,{\rm{nodes}}\,{\rm{in}}\,A\,{\rm{and}}\,B}{{\rm{Number}}\,{\rm{of}}\,{\rm{nodes}}\,{\rm{in}}\,B}$

The F-score is the harmonic mean of recall and precision:

${\rm{F}}-{\rm{score}}=\frac{2* ({\rm{Precision}}* {\rm{Recall}})}{{\rm{Precision}}+{\rm{Recall}}}$

The highest possible value of an F-score is 1.0, indicating perfect precision and recall, and the lowest possible value is 0, if either precision or recall are zero.

In accordance with Taghipour and Ng ( 2016 ), the calculation of QWK involves two steps:

Step 1: Construct a weight matrix W as follows:

${W}_{{ij}}=\frac{{(i-j)}^{2}}{{(N-1)}^{2}}$

i represents the annotation made by the tool, while j represents the annotation made by a human rater. N denotes the total number of possible annotations. Matrix O is subsequently computed, where O_( i, j ) represents the count of data annotated by the tool ( i ) and the human annotator ( j ). On the other hand, E refers to the expected count matrix, which undergoes normalization to ensure that the sum of elements in E matches the sum of elements in O.

Step 2: With matrices O and E, the QWK is obtained as follows:

K = 1- $\frac{\sum i,j{W}_{i,j}\,{O}_{i,j}}{\sum i,j{W}_{i,j}\,{E}_{i,j}}$

The value of the quadratic weighted kappa increases as the level of agreement improves. Further, to assess the accuracy of LLM scoring, the proportional reductive mean square error (PRMSE) was employed. The PRMSE approach takes into account the variability observed in human ratings to estimate the rater error, which is then subtracted from the variance of the human labels. This calculation provides an overall measure of agreement between the automated scores and true scores (Haberman et al. 2015 ; Loukina et al. 2020 ; Taghipour and Ng, 2016 ). The computation of PRMSE involves the following steps:

Step 1: Calculate the mean squared errors (MSEs) for the scoring outcomes of the computer-assisted tool (MSE tool) and the human scoring outcomes (MSE human).

Step 2: Determine the PRMSE by comparing the MSE of the computer-assisted tool (MSE tool) with the MSE from human raters (MSE human), using the following formula:

${\rm{PRMSE}}=1-\frac{({\rm{MSE}}\,{\rm{tool}})\,}{({\rm{MSE}}\,{\rm{human}})\,}=1-\,\frac{{\sum }_{i}^{n}=1{({{\rm{y}}}_{i}-{\hat{{\rm{y}}}}_{{\rm{i}}})}^{2}}{{\sum }_{i}^{n}=1{({{\rm{y}}}_{i}-\hat{{\rm{y}}})}^{2}}$

In the numerator, ŷi represents the scoring outcome predicted by a specific LLM-driven AES system for a given sample. The term y i − ŷ i represents the difference between this predicted outcome and the mean value of all LLM-driven AES systems’ scoring outcomes. It quantifies the deviation of the specific LLM-driven AES system’s prediction from the average prediction of all LLM-driven AES systems. In the denominator, y i − ŷ represents the difference between the scoring outcome provided by a specific human rater for a given sample and the mean value of all human raters’ scoring outcomes. It measures the discrepancy between the specific human rater’s score and the average score given by all human raters. The PRMSE is then calculated by subtracting the ratio of the MSE tool to the MSE human from 1. PRMSE falls within the range of 0 to 1, with larger values indicating reduced errors in LLM’s scoring compared to those of human raters. In other words, a higher PRMSE implies that LLM’s scoring demonstrates greater accuracy in predicting the true scores (Loukina et al. 2020 ). The interpretation of kappa values, ranging from 0 to 1, is based on the work of Landis and Koch ( 1977 ). Specifically, the following categories are assigned to different ranges of kappa values: −1 indicates complete inconsistency, 0 indicates random agreement, 0.0 ~ 0.20 indicates extremely low level of agreement (slight), 0.21 ~ 0.40 indicates moderate level of agreement (fair), 0.41 ~ 0.60 indicates medium level of agreement (moderate), 0.61 ~ 0.80 indicates high level of agreement (substantial), 0.81 ~ 1 indicates almost perfect level of agreement. All statistical analyses were executed using Python script.

Results and discussion

Annotation reliability of the llm.

This section focuses on assessing the reliability of the LLM’s annotation and scoring capabilities. To evaluate the reliability, several tests were conducted simultaneously, aiming to achieve the following objectives:

Assess the LLM’s ability to differentiate between test takers with varying levels of oral proficiency.

Determine the level of agreement between the annotations and scoring performed by the LLM and those done by human raters.

The evaluation of the results encompassed several metrics, including: precision, recall, F-Score, quadratically-weighted kappa, proportional reduction of mean squared error, Pearson correlation, and multi-faceted Rasch measurement.

Inter-annotator agreement (human–human annotator agreement)

We started with an agreement test of the two human annotators. Two trained annotators were recruited to determine the writing task data measures. A total of 714 scripts, as the test data, was utilized. Each analysis lasted 300–360 min. Inter-annotator agreement was evaluated using the standard measures of precision, recall, and F-score and QWK. Table 7 presents the inter-annotator agreement for the various indicators. As shown, the inter-annotator agreement was fairly high, with F-scores ranging from 1.0 for sentence and word number to 0.666 for grammatical errors.

The findings from the QWK analysis provided further confirmation of the inter-annotator agreement. The QWK values covered a range from 0.950 ( p = 0.000) for sentence and word number to 0.695 for synonym overlap number (keyword) and grammatical errors ( p = 0.001).

Agreement of annotation outcomes between human and LLM

To evaluate the consistency between human annotators and LLM annotators (BERT, GPT, OCLL) across the indices, the same test was conducted. The results of the inter-annotator agreement (F-score) between LLM and human annotation are provided in Appendix B-D. The F-scores ranged from 0.706 for Grammatical error # for OCLL-human to a perfect 1.000 for GPT-human, for sentences, clauses, T-units, and words. These findings were further supported by the QWK analysis, which showed agreement levels ranging from 0.807 ( p = 0.001) for metadiscourse markers for OCLL-human to 0.962 for words ( p = 0.000) for GPT-human. The findings demonstrated that the LLM annotation achieved a significant level of accuracy in identifying measurement units and counts.

Reliability of LLM-driven AES’s scoring and discriminating proficiency levels

This section examines the reliability of the LLM-driven AES scoring through a comparison of the scoring outcomes produced by human raters and the LLM ( Reliability of LLM-driven AES scoring ). It also assesses the effectiveness of the LLM-based AES system in differentiating participants with varying proficiency levels ( Reliability of LLM-driven AES discriminating proficiency levels ).

Reliability of LLM-driven AES scoring

Table 8 summarizes the QWK coefficient analysis between the scores computed by the human raters and the GPT-4 for the individual essays from I-JAS Footnote 7 . As shown, the QWK of all measures ranged from k = 0.819 for lexical density (number of lexical words (tokens)/number of words per essay) to k = 0.644 for word2vec cosine similarity. Table 9 further presents the Pearson correlations between the 16 writing proficiency measures scored by human raters and GPT 4 for the individual essays. The correlations ranged from 0.672 for syntactic complexity to 0.734 for grammatical accuracy. The correlations between the writing proficiency scores assigned by human raters and the BERT-based AES system were found to range from 0.661 for syntactic complexity to 0.713 for grammatical accuracy. The correlations between the writing proficiency scores given by human raters and the OCLL-based AES system ranged from 0.654 for cohesion to 0.721 for grammatical accuracy. These findings indicated an alignment between the assessments made by human raters and both the BERT-based and OCLL-based AES systems in terms of various aspects of writing proficiency.

Reliability of LLM-driven AES discriminating proficiency levels

After validating the reliability of the LLM’s annotation and scoring, the subsequent objective was to evaluate its ability to distinguish between various proficiency levels. For this analysis, a dataset of 686 individual essays was utilized. Table 10 presents a sample of the results, summarizing the means, standard deviations, and the outcomes of the one-way ANOVAs based on the measures assessed by the GPT-4 model. A post hoc multiple comparison test, specifically the Bonferroni test, was conducted to identify any potential differences between pairs of levels.

As the results reveal, seven measures presented linear upward or downward progress across the three proficiency levels. These were marked in bold in Table 10 and comprise one measure of lexical richness, i.e. MATTR (lexical diversity); four measures of syntactic complexity, i.e. MDD (mean dependency distance), MLC (mean length of clause), CNT (complex nominals per T-unit), CPC (coordinate phrases rate); one cohesion measure, i.e. word2vec cosine similarity and GER (grammatical error rate). Regarding the ability of the sixteen measures to distinguish adjacent proficiency levels, the Bonferroni tests indicated that statistically significant differences exist between the primary level and the intermediate level for MLC and GER. One measure of lexical richness, namely LD, along with three measures of syntactic complexity (VPT, CT, DCT, ACC), two measures of cohesion (SOPT, SOPK), and one measure of content elaboration (IMM), exhibited statistically significant differences between proficiency levels. However, these differences did not demonstrate a linear progression between adjacent proficiency levels. No significant difference was observed in lexical sophistication between proficiency levels.

To summarize, our study aimed to evaluate the reliability and differentiation capabilities of the LLM-driven AES method. For the first objective, we assessed the LLM’s ability to differentiate between test takers with varying levels of oral proficiency using precision, recall, F-Score, and quadratically-weighted kappa. Regarding the second objective, we compared the scoring outcomes generated by human raters and the LLM to determine the level of agreement. We employed quadratically-weighted kappa and Pearson correlations to compare the 16 writing proficiency measures for the individual essays. The results confirmed the feasibility of using the LLM for annotation and scoring in AES for nonnative Japanese. As a result, Research Question 1 has been addressed.

Comparison of BERT-, GPT-, OCLL-based AES, and linguistic-feature-based computation methods

This section aims to compare the effectiveness of five AES methods for nonnative Japanese writing, i.e. LLM-driven approaches utilizing BERT, GPT, and OCLL, linguistic feature-based approaches using Jess and JWriter. The comparison was conducted by comparing the ratings obtained from each approach with human ratings. All ratings were derived from the dataset introduced in Dataset . To facilitate the comparison, the agreement between the automated methods and human ratings was assessed using QWK and PRMSE. The performance of each approach was summarized in Table 11 .

The QWK coefficient values indicate that LLMs (GPT, BERT, OCLL) and human rating outcomes demonstrated higher agreement compared to feature-based AES methods (Jess and JWriter) in assessing writing proficiency criteria, including lexical richness, syntactic complexity, content, and grammatical accuracy. Among the LLMs, the GPT-4 driven AES and human rating outcomes showed the highest agreement in all criteria, except for syntactic complexity. The PRMSE values suggest that the GPT-based method outperformed linguistic feature-based methods and other LLM-based approaches. Moreover, an interesting finding emerged during the study: the agreement coefficient between GPT-4 and human scoring was even higher than the agreement between different human raters themselves. This discovery highlights the advantage of GPT-based AES over human rating. Ratings involve a series of processes, including reading the learners’ writing, evaluating the content and language, and assigning scores. Within this chain of processes, various biases can be introduced, stemming from factors such as rater biases, test design, and rating scales. These biases can impact the consistency and objectivity of human ratings. GPT-based AES may benefit from its ability to apply consistent and objective evaluation criteria. By prompting the GPT model with detailed writing scoring rubrics and linguistic features, potential biases in human ratings can be mitigated. The model follows a predefined set of guidelines and does not possess the same subjective biases that human raters may exhibit. This standardization in the evaluation process contributes to the higher agreement observed between GPT-4 and human scoring. Section Prompt strategy of the study delves further into the role of prompts in the application of LLMs to AES. It explores how the choice and implementation of prompts can impact the performance and reliability of LLM-based AES methods. Furthermore, it is important to acknowledge the strengths of the local model, i.e. the Japanese local model OCLL, which excels in processing certain idiomatic expressions. Nevertheless, our analysis indicated that GPT-4 surpasses local models in AES. This superior performance can be attributed to the larger parameter size of GPT-4, estimated to be between 500 billion and 1 trillion, which exceeds the sizes of both BERT and the local model OCLL.

Prompt strategy

In the context of prompt strategy, Mizumoto and Eguchi ( 2023 ) conducted a study where they applied the GPT-3 model to automatically score English essays in the TOEFL test. They found that the accuracy of the GPT model alone was moderate to fair. However, when they incorporated linguistic measures such as cohesion, syntactic complexity, and lexical features alongside the GPT model, the accuracy significantly improved. This highlights the importance of prompt engineering and providing the model with specific instructions to enhance its performance. In this study, a similar approach was taken to optimize the performance of LLMs. GPT-4, which outperformed BERT and OCLL, was selected as the candidate model. Model 1 was used as the baseline, representing GPT-4 without any additional prompting. Model 2, on the other hand, involved GPT-4 prompted with 16 measures that included scoring criteria, efficient linguistic features for writing assessment, and detailed measurement units and calculation formulas. The remaining models (Models 3 to 18) utilized GPT-4 prompted with individual measures. The performance of these 18 different models was assessed using the output indicators described in Section Criteria (output indicator) . By comparing the performances of these models, the study aimed to understand the impact of prompt engineering on the accuracy and effectiveness of GPT-4 in AES tasks.

Based on the PRMSE scores presented in Fig. 4 , it was observed that Model 1, representing GPT-4 without any additional prompting, achieved a fair level of performance. However, Model 2, which utilized GPT-4 prompted with all measures, outperformed all other models in terms of PRMSE score, achieving a score of 0.681. These results indicate that the inclusion of specific measures and prompts significantly enhanced the performance of GPT-4 in AES. Among the measures, syntactic complexity was found to play a particularly significant role in improving the accuracy of GPT-4 in assessing writing quality. Following that, lexical diversity emerged as another important factor contributing to the model’s effectiveness. The study suggests that a well-prompted GPT-4 can serve as a valuable tool to support human assessors in evaluating writing quality. By utilizing GPT-4 as an automated scoring tool, the evaluation biases associated with human raters can be minimized. This has the potential to empower teachers by allowing them to focus on designing writing tasks and guiding writing strategies, while leveraging the capabilities of GPT-4 for efficient and reliable scoring.

PRMSE scores of the 18 AES models.

This study aimed to investigate two main research questions: the feasibility of utilizing LLMs for AES and the impact of prompt engineering on the application of LLMs in AES.

To address the first objective, the study compared the effectiveness of five different models: GPT, BERT, the Japanese local LLM (OCLL), and two conventional machine learning-based AES tools (Jess and JWriter). The PRMSE values indicated that the GPT-4-based method outperformed other LLMs (BERT, OCLL) and linguistic feature-based computational methods (Jess and JWriter) across various writing proficiency criteria. Furthermore, the agreement coefficient between GPT-4 and human scoring surpassed the agreement among human raters themselves, highlighting the potential of using the GPT-4 tool to enhance AES by reducing biases and subjectivity, saving time, labor, and cost, and providing valuable feedback for self-study. Regarding the second goal, the role of prompt design was investigated by comparing 18 models, including a baseline model, a model prompted with all measures, and 16 models prompted with one measure at a time. GPT-4, which outperformed BERT and OCLL, was selected as the candidate model. The PRMSE scores of the models showed that GPT-4 prompted with all measures achieved the best performance, surpassing the baseline and other models.

In conclusion, this study has demonstrated the potential of LLMs in supporting human rating in assessments. By incorporating automation, we can save time and resources while reducing biases and subjectivity inherent in human rating processes. Automated language assessments offer the advantage of accessibility, providing equal opportunities and economic feasibility for individuals who lack access to traditional assessment centers or necessary resources. LLM-based language assessments provide valuable feedback and support to learners, aiding in the enhancement of their language proficiency and the achievement of their goals. This personalized feedback can cater to individual learner needs, facilitating a more tailored and effective language-learning experience.

There are three important areas that merit further exploration. First, prompt engineering requires attention to ensure optimal performance of LLM-based AES across different language types. This study revealed that GPT-4, when prompted with all measures, outperformed models prompted with fewer measures. Therefore, investigating and refining prompt strategies can enhance the effectiveness of LLMs in automated language assessments. Second, it is crucial to explore the application of LLMs in second-language assessment and learning for oral proficiency, as well as their potential in under-resourced languages. Recent advancements in self-supervised machine learning techniques have significantly improved automatic speech recognition (ASR) systems, opening up new possibilities for creating reliable ASR systems, particularly for under-resourced languages with limited data. However, challenges persist in the field of ASR. First, ASR assumes correct word pronunciation for automatic pronunciation evaluation, which proves challenging for learners in the early stages of language acquisition due to diverse accents influenced by their native languages. Accurately segmenting short words becomes problematic in such cases. Second, developing precise audio-text transcriptions for languages with non-native accented speech poses a formidable task. Last, assessing oral proficiency levels involves capturing various linguistic features, including fluency, pronunciation, accuracy, and complexity, which are not easily captured by current NLP technology.

Data availability

The dataset utilized was obtained from the International Corpus of Japanese as a Second Language (I-JAS). The data URLs: [ https://www2.ninjal.ac.jp/jll/lsaj/ihome2.html ].

J-CAT and TTBJ are two computerized adaptive tests used to assess Japanese language proficiency.

SPOT is a specific component of the TTBJ test.

J-CAT: https://www.j-cat2.org/html/ja/pages/interpret.html

SPOT: https://ttbj.cegloc.tsukuba.ac.jp/p1.html#SPOT .

The study utilized a prompt-based GPT-4 model, developed by OpenAI, which has an impressive architecture with 1.8 trillion parameters across 120 layers. GPT-4 was trained on a vast dataset of 13 trillion tokens, using two stages: initial training on internet text datasets to predict the next token, and subsequent fine-tuning through reinforcement learning from human feedback.

https://www2.ninjal.ac.jp/jll/lsaj/ihome2-en.html .

http://jhlee.sakura.ne.jp/JEV/ by Japanese Learning Dictionary Support Group 2015.

We express our sincere gratitude to the reviewer for bringing this matter to our attention.

On February 7, 2023, Microsoft began rolling out a major overhaul to Bing that included a new chatbot feature based on OpenAI’s GPT-4 (Bing.com).

Appendix E-F present the analysis results of the QWK coefficient between the scores computed by the human raters and the BERT, OCLL models.

Attali Y, Burstein J (2006) Automated essay scoring with e-rater® V.2. J. Technol., Learn. Assess., 4

Barkaoui K, Hadidi A (2020) Assessing Change in English Second Language Writing Performance (1st ed.). Routledge, New York. https://doi.org/10.4324/9781003092346

Bentz C, Tatyana R, Koplenig A, Tanja S (2016) A comparison between morphological complexity. measures: Typological data vs. language corpora. In Proceedings of the workshop on computational linguistics for linguistic complexity (CL4LC), 142–153. Osaka, Japan: The COLING 2016 Organizing Committee

Bond TG, Yan Z, Heene M (2021) Applying the Rasch model: Fundamental measurement in the human sciences (4th ed). Routledge

Brants T (2000) Inter-annotator agreement for a German newspaper corpus. Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00), Athens, Greece, 31 May-2 June, European Language Resources Association

Brown TB, Mann B, Ryder N, et al. (2020) Language models are few-shot learners. Advances in Neural Information Processing Systems, Online, 6–12 December, Curran Associates, Inc., Red Hook, NY

Burstein J (2003) The E-rater scoring engine: Automated essay scoring with natural language processing. In Shermis MD and Burstein JC (ed) Automated Essay Scoring: A Cross-Disciplinary Perspective. Lawrence Erlbaum Associates, Mahwah, NJ

Čech R, Miroslav K (2018) Morphological richness of text. In Masako F, Václav C (ed) Taming the corpus: From inflection and lexis to interpretation, 63–77. Cham, Switzerland: Springer Nature

Çöltekin Ç, Taraka, R (2018) Exploiting Universal Dependencies treebanks for measuring morphosyntactic complexity. In Aleksandrs B, Christian B (ed), Proceedings of first workshop on measuring language complexity, 1–7. Torun, Poland

Crossley SA, Cobb T, McNamara DS (2013) Comparing count-based and band-based indices of word frequency: Implications for active vocabulary research and pedagogical applications. System 41:965–981. https://doi.org/10.1016/j.system.2013.08.002

Article Google Scholar

Crossley SA, McNamara DS (2016) Say more and be more coherent: How text elaboration and cohesion can increase writing quality. J. Writ. Res. 7:351–370

CyberAgent Inc (2023) Open-Calm series of Japanese language models. Retrieved from: https://www.cyberagent.co.jp/news/detail/id=28817

Devlin J, Chang MW, Lee K, Toutanova K (2019) BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, Minnesota, 2–7 June, pp. 4171–4186. Association for Computational Linguistics

Diez-Ortega M, Kyle K (2023) Measuring the development of lexical richness of L2 Spanish: a longitudinal learner corpus study. Studies in Second Language Acquisition 1-31

Eckes T (2009) On common ground? How raters perceive scoring criteria in oral proficiency testing. In Brown A, Hill K (ed) Language testing and evaluation 13: Tasks and criteria in performance assessment (pp. 43–73). Peter Lang Publishing

Elliot S (2003) IntelliMetric: from here to validity. In: Shermis MD, Burstein JC (ed) Automated Essay Scoring: A Cross-Disciplinary Perspective. Lawrence Erlbaum Associates, Mahwah, NJ

Google Scholar

Engber CA (1995) The relationship of lexical proficiency to the quality of ESL compositions. J. Second Lang. Writ. 4:139–155

Garner J, Crossley SA, Kyle K (2019) N-gram measures and L2 writing proficiency. System 80:176–187. https://doi.org/10.1016/j.system.2018.12.001

Haberman SJ (2008) When can subscores have value? J. Educat. Behav. Stat., 33:204–229

Haberman SJ, Yao L, Sinharay S (2015) Prediction of true test scores from observed item scores and ancillary data. Brit. J. Math. Stat. Psychol. 68:363–385

Halliday MAK (1985) Spoken and Written Language. Deakin University Press, Melbourne, Australia

Hirao R, Arai M, Shimanaka H et al. (2020) Automated essay scoring system for nonnative Japanese learners. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pp. 1250–1257. European Language Resources Association

Hunt KW (1966) Recent Measures in Syntactic Development. Elementary English, 43(7), 732–739. http://www.jstor.org/stable/41386067

Ishioka T (2001) About e-rater, a computer-based automatic scoring system for essays [Konpyūta ni yoru essei no jidō saiten shisutemu e − rater ni tsuite]. University Entrance Examination. Forum [Daigaku nyūshi fōramu] 24:71–76

Hochreiter S, Schmidhuber J (1997) Long short- term memory. Neural Comput. 9(8):1735–1780

Article CAS PubMed Google Scholar

Ishioka T, Kameda M (2006) Automated Japanese essay scoring system based on articles written by experts. Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Sydney, Australia, 17–18 July 2006, pp. 233-240. Association for Computational Linguistics, USA

Japan Foundation (2021) Retrieved from: https://www.jpf.gp.jp/j/project/japanese/survey/result/dl/survey2021/all.pdf

Jarvis S (2013a) Defining and measuring lexical diversity. In Jarvis S, Daller M (ed) Vocabulary knowledge: Human ratings and automated measures (Vol. 47, pp. 13–44). John Benjamins. https://doi.org/10.1075/sibil.47.03ch1

Jarvis S (2013b) Capturing the diversity in lexical diversity. Lang. Learn. 63:87–106. https://doi.org/10.1111/j.1467-9922.2012.00739.x

Jiang J, Quyang J, Liu H (2019) Interlanguage: A perspective of quantitative linguistic typology. Lang. Sci. 74:85–97

Kim M, Crossley SA, Kyle K (2018) Lexical sophistication as a multidimensional phenomenon: Relations to second language lexical proficiency, development, and writing quality. Mod. Lang. J. 102(1):120–141. https://doi.org/10.1111/modl.12447

Kojima T, Gu S, Reid M et al. (2022) Large language models are zero-shot reasoners. Advances in Neural Information Processing Systems, New Orleans, LA, 29 November-1 December, Curran Associates, Inc., Red Hook, NY

Kyle K, Crossley SA (2015) Automatically assessing lexical sophistication: Indices, tools, findings, and application. TESOL Q 49:757–786

Kyle K, Crossley SA, Berger CM (2018) The tool for the automatic analysis of lexical sophistication (TAALES): Version 2.0. Behav. Res. Methods 50:1030–1046. https://doi.org/10.3758/s13428-017-0924-4

Article PubMed Google Scholar

Kyle K, Crossley SA, Jarvis S (2021) Assessing the validity of lexical diversity using direct judgements. Lang. Assess. Q. 18:154–170. https://doi.org/10.1080/15434303.2020.1844205

Landauer TK, Laham D, Foltz PW (2003) Automated essay scoring and annotation of essays with the Intelligent Essay Assessor. In Shermis MD, Burstein JC (ed), Automated Essay Scoring: A Cross-Disciplinary Perspective. Lawrence Erlbaum Associates, Mahwah, NJ

Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 159–174

Laufer B, Nation P (1995) Vocabulary size and use: Lexical richness in L2 written production. Appl. Linguist. 16:307–322. https://doi.org/10.1093/applin/16.3.307

Lee J, Hasebe Y (2017) jWriter Learner Text Evaluator, URL: https://jreadability.net/jwriter/

Lee J, Kobayashi N, Sakai T, Sakota K (2015) A Comparison of SPOT and J-CAT Based on Test Analysis [Tesuto bunseki ni motozuku ‘SPOT’ to ‘J-CAT’ no hikaku]. Research on the Acquisition of Second Language Japanese [Dainigengo to shite no nihongo no shūtoku kenkyū] (18) 53–69

Li W, Yan J (2021) Probability distribution of dependency distance based on a Treebank of. Japanese EFL Learners’ Interlanguage. J. Quant. Linguist. 28(2):172–186. https://doi.org/10.1080/09296174.2020.1754611

Article MathSciNet Google Scholar

Linacre JM (2002) Optimizing rating scale category effectiveness. J. Appl. Meas. 3(1):85–106

PubMed Google Scholar

Linacre JM (1994) Constructing measurement with a Many-Facet Rasch Model. In Wilson M (ed) Objective measurement: Theory into practice, Volume 2 (pp. 129–144). Norwood, NJ: Ablex

Liu H (2008) Dependency distance as a metric of language comprehension difficulty. J. Cognitive Sci. 9:159–191

Liu H, Xu C, Liang J (2017) Dependency distance: A new perspective on syntactic patterns in natural languages. Phys. Life Rev. 21. https://doi.org/10.1016/j.plrev.2017.03.002

Loukina A, Madnani N, Cahill A, et al. (2020) Using PRMSE to evaluate automated scoring systems in the presence of label noise. Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, Seattle, WA, USA → Online, 10 July, pp. 18–29. Association for Computational Linguistics

Lu X (2010) Automatic analysis of syntactic complexity in second language writing. Int. J. Corpus Linguist. 15:474–496

Lu X (2012) The relationship of lexical richness to the quality of ESL learners’ oral narratives. Mod. Lang. J. 96:190–208

Lu X (2017) Automated measurement of syntactic complexity in corpus-based L2 writing research and implications for writing assessment. Lang. Test. 34:493–511

Lu X, Hu R (2022) Sense-aware lexical sophistication indices and their relationship to second language writing quality. Behav. Res. Method. 54:1444–1460. https://doi.org/10.3758/s13428-021-01675-6

Ministry of Health, Labor, and Welfare of Japan (2022) Retrieved from: https://www.mhlw.go.jp/stf/newpage_30367.html

Mizumoto A, Eguchi M (2023) Exploring the potential of using an AI language model for automated essay scoring. Res. Methods Appl. Linguist. 3:100050

Okgetheng B, Takeuchi K (2024) Estimating Japanese Essay Grading Scores with Large Language Models. Proceedings of 30th Annual Conference of the Language Processing Society in Japan, March 2024

Ortega L (2015) Second language learning explained? SLA across 10 contemporary theories. In VanPatten B, Williams J (ed) Theories in Second Language Acquisition: An Introduction

Rae JW, Borgeaud S, Cai T, et al. (2021) Scaling Language Models: Methods, Analysis & Insights from Training Gopher. ArXiv, abs/2112.11446

Read J (2000) Assessing vocabulary. Cambridge University Press. https://doi.org/10.1017/CBO9780511732942

Rudner LM, Liang T (2002) Automated Essay Scoring Using Bayes’ Theorem. J. Technol., Learning and Assessment, 1 (2)

Sakoda K, Hosoi Y (2020) Accuracy and complexity of Japanese Language usage by SLA learners in different learning environments based on the analysis of I-JAS, a learners’ corpus of Japanese as L2. Math. Linguist. 32(7):403–418. https://doi.org/10.24701/mathling.32.7_403

Suzuki N (1999) Summary of survey results regarding comprehensive essay questions. Final report of “Joint Research on Comprehensive Examinations for the Aim of Evaluating Applicability to Each Specialized Field of Universities” for 1996-2000 [shōronbun sōgō mondai ni kansuru chōsa kekka no gaiyō. Heisei 8 - Heisei 12-nendo daigaku no kaku senmon bun’ya e no tekisei no hyōka o mokuteki to suru sōgō shiken no arikata ni kansuru kyōdō kenkyū’ saishū hōkoku-sho]. University Entrance Examination Section Center Research and Development Department [Daigaku nyūshi sentā kenkyū kaihatsubu], 21–32

Taghipour K, Ng HT (2016) A neural approach to automated essay scoring. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, 1–5 November, pp. 1882–1891. Association for Computational Linguistics

Takeuchi K, Ohno M, Motojin K, Taguchi M, Inada Y, Iizuka M, Abo T, Ueda H (2021) Development of essay scoring methods based on reference texts with construction of research-available Japanese essay data. In IPSJ J 62(9):1586–1604

Ure J (1971) Lexical density: A computational technique and some findings. In Coultard M (ed) Talking about Text. English Language Research, University of Birmingham, Birmingham, England

Vaswani A, Shazeer N, Parmar N, et al. (2017) Attention is all you need. In Advances in Neural Information Processing Systems, Long Beach, CA, 4–7 December, pp. 5998–6008, Curran Associates, Inc., Red Hook, NY

Watanabe H, Taira Y, Inoue Y (1988) Analysis of essay evaluation data [Shōronbun hyōka dēta no kaiseki]. Bulletin of the Faculty of Education, University of Tokyo [Tōkyōdaigaku kyōiku gakubu kiyō], Vol. 28, 143–164

Yao S, Yu D, Zhao J, et al. (2023) Tree of thoughts: Deliberate problem solving with large language models. Advances in Neural Information Processing Systems, 36

Zenker F, Kyle K (2021) Investigating minimum text lengths for lexical diversity indices. Assess. Writ. 47:100505. https://doi.org/10.1016/j.asw.2020.100505

Zhang Y, Warstadt A, Li X, et al. (2021) When do you need billions of words of pretraining data? Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, pp. 1112-1125. Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.90

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This research was funded by National Foundation of Social Sciences (22BYY186) to Wenchao Li.

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Li, W., Liu, H. Applying large language models for automated essay scoring for non-native Japanese. Humanit Soc Sci Commun 11 , 723 (2024). https://doi.org/10.1057/s41599-024-03209-9

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Step 1: Answer your research question. Step 2: Summarize and reflect on your research. Step 3: Make future recommendations. Step 4: Emphasize your contributions to your field. Step 5: Wrap up your thesis or dissertation. Full conclusion example. Conclusion checklist. Other interesting articles.
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Depending on the complexity of your research and document length, the length will differ. The thesis or dissertation conclusion should be 5-7% of your paper's overall word count. For example, if your thesis is 30,000 words, the conclusion can be 1,500-2100 words. The conclusion for empirical or scientific theses or dissertations is often brief.
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How to Write Dissertation Conclusion Example. Here is a dissertation conclusion example of a dissertation that aimed to test a theoretical argument based on an analysis of a case study; Proposed anaerobic digestion plant in Tripoli. Chapter 5 - Dissertation Conclusion. 5.1 Background.
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The conclusion of your dissertation is a good place to restate the significance of your work. This might include how it contributes to existing knowledge in your field or its importance outside of academia. ... Your conclusion should include a summary of what precedes it, but it isn't necessary to go back over everything in depth. Try to make ...
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The last portion of your dissertation is called the conclusion. The objective of the dissertation conclusion is to answer the primary question of the research, provide a summary of the research, make recommendations for possible research on the subject and list the new information that your research contributes to the field.
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The conclusion is the final major chapter of an academic paper, thesis, or dissertation, providing a brief concluding summary of research findings. Its essential purpose is to give the reader a distinct comprehension of the author's primary findings and the solution to the research question. Let's see what a conclusion should include.
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The conclusion of a thesis or a dissertation is a long chapter — not one single sentence but a whole page or more. Generally, it should be 5-7% of the overall word count. The length of a thesis or dissertation conclusion chapter depends on several factors, such as your academic field, research topic, and stated number of pages.
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Step 3: Make future recommendations. You may already have made a few recommendations for future research in your discussion section, but the conclusion is a good place to elaborate and look ahead, considering the implications of your findings in both theoretical and practical terms. Example: Recommendation sentence.
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The main purpose of the conclusion is to remind the reader of the main point or argument of your paper and to provide a clear and concise summary of the key findings and their implications. All these elements should feature on your list of what to put in the conclusion of a research paper to create a strong final statement for your work.
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A summary is an abridgement of the work of literature, which covers the key points succinctly. On the contrary, conclusion refers to the final part of the discourse which sums up the argument and gives a statement of opinion or judgement. A summary is written to provide the reader with a precise and objective narrative of the central ideas and ...
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Finally, some advice on how not to end an essay: Don't simply summarize your essay. A brief summary of your argument may be useful, especially if your essay is long--more than ten pages or so. But shorter essays tend not to require a restatement of your main ideas. Avoid phrases like "in conclusion," "to conclude," "in summary," and "to sum up ...
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How to write an excellent thesis conclusion [with examples]

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How to Start a Dissertation Conclusion

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Addressing Research Questions in Dissertation Conclusion

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Summarising and Reflecting on Research

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1. Summarize Your Argument

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Writing the Dissertation - Guides for Success: The Conclusion

Overview of writing the dissertation conclusion

Disciplinary differences

Guide contents

Training and tools

What is the conclusion?

Structuring a conclusion

Introduction and literature review

Main body (methodology, results and discussion)

A structure in two main parts

Summary and synthesis

Wider, relevant context

‘Returning’ to the introduction

Recommendations for future research

Recommendations for practitioners

Annotated example

What to avoid

Excessive detail

New information

'In conclusion...'

Q: How long should the conclusion be?

Q: Should the conclusion include references to secondary literature?

Q: Should the conclusion be in the first-person or third?

How to Write a Relevant Conclusion for Your Dissertation

Provide Answers to The Primary Question in Your Research

Summarise Your Research

Provide Recommendations

Highlight the Contributions of You Research

Complete the Dissertation

Dissertation Conclusion Checklist

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How to Write a Dissertation or Thesis Conclusion: Guide & Examples

What Is a Dissertation Conclusion?

Thesis or Dissertation Conclusion Length

What to Include in the Conclusion of a Dissertation or Thesis?

How to Write a Dissertation Conclusion Chapter?

1. Restate Your Research Question and Answer It

2. Summarize Key Points

3. Explain Why Your Study Is Valuable

4. Mention the Limitations of Your Study

The Caveat