how to write a critical review of research paper

How to Write Critical Reviews

When you are asked to write a critical review of a book or article, you will need to identify, summarize, and evaluate the ideas and information the author has presented. In other words, you will be examining another person’s thoughts on a topic from your point of view.

Your stand must go beyond your “gut reaction” to the work and be based on your knowledge (readings, lecture, experience) of the topic as well as on factors such as criteria stated in your assignment or discussed by you and your instructor.

Make your stand clear at the beginning of your review, in your evaluations of specific parts, and in your concluding commentary.

Remember that your goal should be to make a few key points about the book or article, not to discuss everything the author writes.

Understanding the Assignment

To write a good critical review, you will have to engage in the mental processes of analyzing (taking apart) the work–deciding what its major components are and determining how these parts (i.e., paragraphs, sections, or chapters) contribute to the work as a whole.

Analyzing the work will help you focus on how and why the author makes certain points and prevent you from merely summarizing what the author says. Assuming the role of an analytical reader will also help you to determine whether or not the author fulfills the stated purpose of the book or article and enhances your understanding or knowledge of a particular topic.

Be sure to read your assignment thoroughly before you read the article or book. Your instructor may have included specific guidelines for you to follow. Keeping these guidelines in mind as you read the article or book can really help you write your paper!

Also, note where the work connects with what you’ve studied in the course. You can make the most efficient use of your reading and notetaking time if you are an active reader; that is, keep relevant questions in mind and jot down page numbers as well as your responses to ideas that appear to be significant as you read.

Please note: The length of your introduction and overview, the number of points you choose to review, and the length of your conclusion should be proportionate to the page limit stated in your assignment and should reflect the complexity of the material being reviewed as well as the expectations of your reader.

Write the introduction

Below are a few guidelines to help you write the introduction to your critical review.

Introduce your review appropriately

Begin your review with an introduction appropriate to your assignment.

If your assignment asks you to review only one book and not to use outside sources, your introduction will focus on identifying the author, the title, the main topic or issue presented in the book, and the author’s purpose in writing the book.

If your assignment asks you to review the book as it relates to issues or themes discussed in the course, or to review two or more books on the same topic, your introduction must also encompass those expectations.

Explain relationships

For example, before you can review two books on a topic, you must explain to your reader in your introduction how they are related to one another.

Within this shared context (or under this “umbrella”) you can then review comparable aspects of both books, pointing out where the authors agree and differ.

In other words, the more complicated your assignment is, the more your introduction must accomplish.

Finally, the introduction to a book review is always the place for you to establish your position as the reviewer (your thesis about the author’s thesis).

As you write, consider the following questions:

• Is the book a memoir, a treatise, a collection of facts, an extended argument, etc.? Is the article a documentary, a write-up of primary research, a position paper, etc.?
• Who is the author? What does the preface or foreword tell you about the author’s purpose, background, and credentials? What is the author’s approach to the topic (as a journalist? a historian? a researcher?)?
• What is the main topic or problem addressed? How does the work relate to a discipline, to a profession, to a particular audience, or to other works on the topic?
• What is your critical evaluation of the work (your thesis)? Why have you taken that position? What criteria are you basing your position on?

Provide an overview

In your introduction, you will also want to provide an overview. An overview supplies your reader with certain general information not appropriate for including in the introduction but necessary to understanding the body of the review.

Generally, an overview describes your book’s division into chapters, sections, or points of discussion. An overview may also include background information about the topic, about your stand, or about the criteria you will use for evaluation.

The overview and the introduction work together to provide a comprehensive beginning for (a “springboard” into) your review.

• What are the author’s basic premises? What issues are raised, or what themes emerge? What situation (i.e., racism on college campuses) provides a basis for the author’s assertions?
• How informed is my reader? What background information is relevant to the entire book and should be placed here rather than in a body paragraph?

Write the body

The body is the center of your paper, where you draw out your main arguments. Below are some guidelines to help you write it.

Organize using a logical plan

Organize the body of your review according to a logical plan. Here are two options:

• First, summarize, in a series of paragraphs, those major points from the book that you plan to discuss; incorporating each major point into a topic sentence for a paragraph is an effective organizational strategy. Second, discuss and evaluate these points in a following group of paragraphs. (There are two dangers lurking in this pattern–you may allot too many paragraphs to summary and too few to evaluation, or you may re-summarize too many points from the book in your evaluation section.)
• Alternatively, you can summarize and evaluate the major points you have chosen from the book in a point-by-point schema. That means you will discuss and evaluate point one within the same paragraph (or in several if the point is significant and warrants extended discussion) before you summarize and evaluate point two, point three, etc., moving in a logical sequence from point to point to point. Here again, it is effective to use the topic sentence of each paragraph to identify the point from the book that you plan to summarize or evaluate.

Questions to keep in mind as you write

With either organizational pattern, consider the following questions:

• What are the author’s most important points? How do these relate to one another? (Make relationships clear by using transitions: “In contrast,” an equally strong argument,” “moreover,” “a final conclusion,” etc.).
• What types of evidence or information does the author present to support his or her points? Is this evidence convincing, controversial, factual, one-sided, etc.? (Consider the use of primary historical material, case studies, narratives, recent scientific findings, statistics.)
• Where does the author do a good job of conveying factual material as well as personal perspective? Where does the author fail to do so? If solutions to a problem are offered, are they believable, misguided, or promising?
• Which parts of the work (particular arguments, descriptions, chapters, etc.) are most effective and which parts are least effective? Why?
• Where (if at all) does the author convey personal prejudice, support illogical relationships, or present evidence out of its appropriate context?

Keep your opinions distinct and cite your sources

Remember, as you discuss the author’s major points, be sure to distinguish consistently between the author’s opinions and your own.

Keep the summary portions of your discussion concise, remembering that your task as a reviewer is to re-see the author’s work, not to re-tell it.

And, importantly, if you refer to ideas from other books and articles or from lecture and course materials, always document your sources, or else you might wander into the realm of plagiarism.

Include only that material which has relevance for your review and use direct quotations sparingly. The Writing Center has other handouts to help you paraphrase text and introduce quotations.

Write the conclusion

You will want to use the conclusion to state your overall critical evaluation.

You have already discussed the major points the author makes, examined how the author supports arguments, and evaluated the quality or effectiveness of specific aspects of the book or article.

Now you must make an evaluation of the work as a whole, determining such things as whether or not the author achieves the stated or implied purpose and if the work makes a significant contribution to an existing body of knowledge.

Consider the following questions:

• Is the work appropriately subjective or objective according to the author’s purpose?
• How well does the work maintain its stated or implied focus? Does the author present extraneous material? Does the author exclude or ignore relevant information?
• How well has the author achieved the overall purpose of the book or article? What contribution does the work make to an existing body of knowledge or to a specific group of readers? Can you justify the use of this work in a particular course?
• What is the most important final comment you wish to make about the book or article? Do you have any suggestions for the direction of future research in the area? What has reading this work done for you or demonstrated to you?

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Structure of a Critical Review

Critical reviews, both short (one page) and long (four pages), usually have a similar structure. Check your assignment instructions for formatting and structural specifications. Headings are usually optional for longer reviews and can be helpful for the reader.

Introduction

The length of an introduction is usually one paragraph for a journal article review and two or three paragraphs for a longer book review. Include a few opening sentences that announce the author(s) and the title, and briefly explain the topic of the text. Present the aim of the text and summarise the main finding or key argument. Conclude the introduction with a brief statement of your evaluation of the text. This can be a positive or negative evaluation or, as is usually the case, a mixed response.

Present a summary of the key points along with a limited number of examples. You can also briefly explain the author’s purpose/intentions throughout the text and you may briefly describe how the text is organised. The summary should only make up about a third of the critical review.

The critique should be a balanced discussion and evaluation of the strengths, weakness and notable features of the text. Remember to base your discussion on specific criteria. Good reviews also include other sources to support your evaluation (remember to reference).

You can choose how to sequence your critique. Here are some examples to get you started:

• Most important to least important conclusions you make about the text.
• If your critique is more positive than negative, then present the negative points first and the positive last.
• If your critique is more negative than positive, then present the positive points first and the negative last.
• If there are both strengths and weakness for each criterion you use, you need to decide overall what your judgement is. For example, you may want to comment on a key idea in the text and have both positive and negative comments. You could begin by stating what is good about the idea and then concede and explain how it is limited in some way. While this example shows a mixed evaluation, overall you are probably being more negative than positive.
• In long reviews, you can address each criterion you choose in a paragraph, including both negative and positive points. For very short critical reviews (one page or less), where your comments will be briefer, include a paragraph of positive aspects  and another of negative.
• You can also include recommendations for how the text can be improved in terms of ideas, research approach; theories or frameworks used can also be included in the critique section.

Conclusion & References

This is usually a very short paragraph.

• Restate your overall opinion of the text.
• Briefly present recommendations.
• If necessary, some further qualification or explanation of your judgement can be included. This can help your critique sound fair and reasonable.

If you have used other sources in you review you should also include a list of references at the end of the review.

Summarising and paraphrasing for the critical review

The best way to summarise

• Scan the text. Look for information that can be deduced from the introduction, conclusion, title, and headings. What do these tell you about the main points of the article?
• Locate the topic sentences and highlight the main points as you read.
• Reread the text and make separate notes of the main points. Examples and evidence do not need to be included at this stage. Usually they are used selectively in your critique.

Paraphrasing means putting it into your own words. Paraphrasing offers an alternative to using direct quotations in your summary (and the critique) and can be an efficient way to integrate your summary notes.

The best way to paraphrase

• Review your summary notes
• Rewrite them in your own words and in complete sentences
• Use reporting verbs and phrases, e.g. 'The author describes…', 'Smith argues that …'.
• Use quotation marks if If you include unique or specialist phrases from the text.

  Next: Some general criteria for evaluating texts

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• 04 December 2020
• Correction 09 December 2020

How to write a superb literature review

Andy Tay is a freelance writer based in Singapore.

You can also search for this author in PubMed   Google Scholar

Literature reviews are important resources for scientists. They provide historical context for a field while offering opinions on its future trajectory. Creating them can provide inspiration for one’s own research, as well as some practice in writing. But few scientists are trained in how to write a review — or in what constitutes an excellent one. Even picking the appropriate software to use can be an involved decision (see ‘Tools and techniques’). So Nature asked editors and working scientists with well-cited reviews for their tips.

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doi: https://doi.org/10.1038/d41586-020-03422-x

Interviews have been edited for length and clarity.

Updates & Corrections

Correction 09 December 2020 : An earlier version of the tables in this article included some incorrect details about the programs Zotero, Endnote and Manubot. These have now been corrected.

Hsing, I.-M., Xu, Y. & Zhao, W. Electroanalysis 19 , 755–768 (2007).

Article   Google Scholar  

Ledesma, H. A. et al. Nature Nanotechnol. 14 , 645–657 (2019).

Article   PubMed   Google Scholar  

Brahlek, M., Koirala, N., Bansal, N. & Oh, S. Solid State Commun. 215–216 , 54–62 (2015).

Choi, Y. & Lee, S. Y. Nature Rev. Chem . https://doi.org/10.1038/s41570-020-00221-w (2020).

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Writing Critical Reviews

What is a Critical Review of a Journal Article?

A critical review of a journal article evaluates the strengths and weaknesses of an article's ideas and content. It provides description, analysis and interpretation that allow readers to assess the article's value.

Before You Read the Article

• What does the title lead you to expect about the article?
• Study any sub-headings to understand how the author organized the content.
• Read the abstract for a summary of the author's arguments.
• Study the list of references to determine what research contributed to the author's arguments. Are the references recent? Do they represent important work in the field?
• If possible, read about the author to learn what authority he or she has to write about the subject.
• Consult Web of Science to see if other writers have cited the author's work. (Please see 'How to use E-Indexes'.) Has the author made an important contribution to the field of study?

Reading the Article: Points to Consider

Read the article carefully. Record your impressions and note sections suitable for quoting.

• Who is the intended audience?
• What is the author's purpose? To survey and summarize research on a topic? To present an argument that builds on past research? To refute another writer's argument?
• Does the author define important terms?
• Is the information in the article fact or opinion? (Facts can be verified, while opinions arise from interpretations of facts.) Does the information seem well-researched or is it unsupported?
• What are the author's central arguments or conclusions? Are they clearly stated? Are they supported by evidence and analysis?
• If the article reports on an experiment or study, does the author clearly outline methodology and the expected result?
• Is the article lacking information or argumentation that you expected to find?
• Is the article organized logically and easy to follow?
• Does the writer's style suit the intended audience? Is the style stilted or unnecessarily complicated?
• Is the author's language objective or charged with emotion and bias?
• If illustrations or charts are used, are they effective in presenting information?

Prepare an Outline

Read over your notes. Choose a statement that expresses the central purpose or thesis of your review. When thinking of a thesis, consider the author's intentions and whether or not you think those intentions were successfully realized. Eliminate all notes that do not relate to your thesis. Organize your remaining points into separate groups such as points about structure, style, or argument. Devise a logical sequence for presenting these ideas. Remember that all of your ideas must support your central thesis.

Write the First Draft

The review should begin with a complete citation of the article. For example:

Platt, Kevin M.F. "History and Despotism, or: Hayden White vs. Ivan the Terrible  and Peter the Great." Rethinking History 3:3 (1999) : 247-269.

NOTE: Use the same bibliographic citation format as you would for any bibliography, works cited or reference list. It will follow a standard documentation style such as MLA or APA.

Be sure to ask your instructor which citation style to use. For frequently used style guides consult Queen's University Library's Citing Sources guide.

The first paragraph may contain:

• a statement of your thesis
• the author's purpose in writing the article
• comments on how the article relates to other work on the same subject
• information about the author's reputation or authority in the field

The body of the review should:

• state your arguments in support of your thesis
• follow the logical development of ideas that you mapped out in your outline
• include quotations from the article which illustrate your main ideas

The concluding paragraph may:

• summarize your review
• restate your thesis

Revise the First Draft

Ideally, you should leave your first draft for a day or two before revising. This allows you to gain a more objective perspective on your ideas. Check for the following when revising:

• grammar and punctuation errors
• organization, logical development and solid support of your thesis
• errors in quotations or in references

You may make major revisions in the organization or content of your review during the revision process. Revising can even lead to a radical change in your central thesis.

NOTE: Prepared by University of Toronto Mississauga Library, Hazel McCallion Academic Learning Centre.

• << Previous: Writing Resources
• Next: Annotated Bibliography >>

Additional Resources

Writing a Critical Review (Allyson Skene, The Writing Centre, U of Toronto at Scarborough)

The Book Review or Article Critique (Margaret Procter, Writing Support, University of Toronto)

Critical Reviews of Journal Articles (Herbert Coutts, University of Alberta)

Writing a Critical Review (The Writing Centre, Queen's University)

• Last Updated: Aug 29, 2023 12:23 PM
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A Critical Review: How to Do it Step by Step

Last Updated:  

April 24, 2023

You have been asked to write a critical review of a novel, a painting, a movie, a play, a piece of music... and you don't know where to start? It's not the same as asking "how to write my papers or an academic essay" because a review has a different structure and emphases to pay attention to. But don't panic! Read this post carefully, and you'll learn how to organise and write it step by step. You can also read various sample critiques by other writers to prepare for them better.

Key Takeaways section on how to write a Critical Review

• Understand the purpose : A critical review should summarise and evaluate the work, providing well-argued and justified opinions.
• No standard length : Critical reviews can range from 500 to 800 words depending on the complexity of the work being analysed.
• Five-part structure : Include a title, introduction, summary, critical commentary, and conclusion in your review.
• Create a compelling title : A title should summarise your general opinion; consider writing it after completing the review to capture the essence of your conclusions.
• Offer well-supported evaluations : Your critical commentary should be extensive and supported by arguments, not just simple statements of liking or disliking the work.
• Brief conclusions : Summarise your critical commentary and overall thoughts on the work in a concise manner.
• Prepare before writing : Approach the work without prejudice, take notes, make summaries, and gather relevant information to ensure a successful critical review.

What to take into account when writing a critical review?

The first thing to remember is that it is an expository-argumentative text. Therefore, your critical review must fulfil two objectives:

Summarise the work , i.e., provide an overall view by synthesising its most important aspects.

Evaluate the work , that is, give a personal value judgement about it. Your opinion must be well-argued and justified.

And how long should this text be, you may be wondering. The truth is that there is no standard length. That is, it depends on how long and complex the object of your analysis is (reviewing a short film is not the same as reviewing a three-hour movie). A reasonable measure would be between 500 words minimum and 800 words maximum. But remember - a text must say something, give information, so if your text is short, but you don't think it is necessary to add anything more, don't continue writing! Go to the point and remember: empty text only serves to confuse and divert attention from the main topic.

The structure of a critical review

As we have seen, your review should summarise the work you are analysing and give your opinion about it. To fulfil both objectives, you will have to follow this five-part structure:

• ‍ Title of the review: it should be a title that synthesises your general opinion. For example, if you are reviewing the novel Love in the Time of Cholera, you liked it and what moved you most is how the author narrates a love that resists decades and decades - your title could be something like this: 'Love in the Time of Cholera: the moving tale of a patient love that can do anything. A trick to write the perfect title is to wait until the end of the review since the essence of the title is usually in the conclusions. ‍
• Introduction: this section should be very brief, and in it you will have to introduce the author and the work. In the case of Love in the Time of Cholera, we would briefly talk about Gabriel García Márquez's career and tell that the book is about the love between Florentino, Fermina and Juvenal throughout the years. ‍
• Summary : This third part is broader than the presentation, and it is here where you should go deeper into the theme of the work. It is about choosing those key moments or features that shape the play. Returning to the example of Love in the Time of Cholera, some moments that should be in the expository summary would be the love affair between Florentino and Fermina, her marriage to Juvenal, the death of the doctor, and the reunion with Florentino, since they mark turning points in the story. ‍
• Critical commentary: this point should be the most extensive of all the critical reviews since you must give your opinion about the work, but be careful! it is not enough to say 'I liked it' or 'I didn't like it', but your evaluation must have a basis and be supported by arguments. To do this, you will have to choose the points of the work that most caught your attention and comment on them, saying if you agree with the way it has been presented. And if the work has seemed novel or not, if you think it has maintained coherence from beginning to end, if the characters seem relevant to you, if you think another approach would have been more effective… and why. ‍
• Conclusions: this part should be very brief, and in it you have to summarise your critical commentary and say what you thought of the work in general and how it made you feel.

How to prepare a critical review

To make sure that the writing of your review is perfect, you will have to start preparing it before you start writing while you are enjoying the book.

Approach the works without prejudice! If, for example, you go to a concert thinking you won't like it, you will probably be unfairly negative in your review.

Take notes as you read, watch, listen and observe the work to recover them in your review.

In the case of long works, make summaries of their parts: it will be easier and faster to synthesise the whole.

Make sure you have a good understanding of the work to be able to judge it correctly. To do this, consult information and bibliography about it.

Now that you know how to write it, your next critical review will be a success!

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A Step-by-Step Guide to Writing a Scientific Review Article

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Manisha Bahl, A Step-by-Step Guide to Writing a Scientific Review Article, Journal of Breast Imaging , Volume 5, Issue 4, July/August 2023, Pages 480–485, https://doi.org/10.1093/jbi/wbad028

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Scientific review articles are comprehensive, focused reviews of the scientific literature written by subject matter experts. The task of writing a scientific review article can seem overwhelming; however, it can be managed by using an organized approach and devoting sufficient time to the process. The process involves selecting a topic about which the authors are knowledgeable and enthusiastic, conducting a literature search and critical analysis of the literature, and writing the article, which is composed of an abstract, introduction, body, and conclusion, with accompanying tables and figures. This article, which focuses on the narrative or traditional literature review, is intended to serve as a guide with practical steps for new writers. Tips for success are also discussed, including selecting a focused topic, maintaining objectivity and balance while writing, avoiding tedious data presentation in a laundry list format, moving from descriptions of the literature to critical analysis, avoiding simplistic conclusions, and budgeting time for the overall process.

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• To introduce the source, its main ideas, key details, and its place within the field
• To present your assessment of the quality of the source

In general, the introduction of your critical review should include

• Author(s) name
• Title of the source 
• What is the author's central purpose?
• What methods or theoretical frameworks were used to accomplish this purpose?
• What topic areas, chapters, sections, or key points did the author use to structure the source?
• What were the results or findings of the study?
• How were the results or findings interpreted? How were they related to the original problem (author's view of evidence rather than objective findings)?
• Who conducted the research? What were/are their interests?
• Why did they do this research?
• Was this research pertinent only within the author’s field, or did it have broader (even global) relevance?
• On what prior research was this source-based? What gap is the author attempting to address?
• How important was the research question posed by the researcher?
• Your overall opinion of the quality of the source. Think of this like a thesis or main argument.
• Present your evaluation of the source, providing evidence from the text (or other sources) to support your assessment.

In general, the body of your critical review should include

• Is the material organized logically and with appropriate headings?
• Are there stylistic problems in logical, clarity or language?
• Were the author(s) able to answer the question (test the hypothesis) raised
• What was the objective of the study?
• Does all the information lead coherently to the purpose of the study?
• Are the methods valid for studying the problem or gap?
• Could the study be duplicated from the information provided?
• Is the experimental design logical and reliable?
• How are the data organized? Is it logical and interpretable?
• Do the results reveal what the researcher intended?
• Do the authors present a logical interpretation of the results?
• Have the limitations of the research been addressed?
• Does the study consider other key studies in the field or other research possibilities or directions?
• How was the significance of the work described?
• Follow the structure of the journal article (e.g. Introduction, Methods, Results, Discussion) - highlighting the strengths and weaknesses in each section
• Present the weaknesses of the article, and then the strengths of the article (or vice versa).
• Group your ideas according to different research themes presented in the source
• Group the strengths and weaknesses of the article into the following areas: originality, reliability, validity, relevance, and presentation

Purpose: 

• To summarize the strengths and weaknesses of the article as a whole
• To assert the article’s practical and theoretical significance

In general, the conclusion of your critical review should include

• A restatement of your overall opinion
• A summary of the key strengths and weaknesses of the research that support your overall opinion of the source
• Did the research reported in this source result in the formation of new questions, theories or hypotheses by the authors or other researchers?
• Have other researchers subsequently supported or refuted the observations or interpretations of these authors?
• Did the research provide new factual information, a new understanding of a phenomenon in the field, a new research technique?
• Did the research produce any practical applications? 
• What are the social, political, technological, or medical implications of this research?
• How do you evaluate the significance of the research? 
• Find out what style guide you are required to follow (e.g., APA, MLA, Chicago) and follow the guidelines to create a reference list (may be called a bibliography or works cited).
• Be sure to include citations in the text when you refer to the source itself or external sources. 
• Check out our Cite Your Sources Guide for more information. 
• Read assignment instructions carefully and refer to them throughout the writing process.
• Make an outline of your main sections before you write.
• If your professor does not assign a topic or source, you must choose one yourself. Select a source that interests you and is written clearly so you can understand it.
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Ten Simple Rules for Writing a Literature Review

Marco pautasso.

1 Centre for Functional and Evolutionary Ecology (CEFE), CNRS, Montpellier, France

2 Centre for Biodiversity Synthesis and Analysis (CESAB), FRB, Aix-en-Provence, France

Literature reviews are in great demand in most scientific fields. Their need stems from the ever-increasing output of scientific publications [1] . For example, compared to 1991, in 2008 three, eight, and forty times more papers were indexed in Web of Science on malaria, obesity, and biodiversity, respectively [2] . Given such mountains of papers, scientists cannot be expected to examine in detail every single new paper relevant to their interests [3] . Thus, it is both advantageous and necessary to rely on regular summaries of the recent literature. Although recognition for scientists mainly comes from primary research, timely literature reviews can lead to new synthetic insights and are often widely read [4] . For such summaries to be useful, however, they need to be compiled in a professional way [5] .

When starting from scratch, reviewing the literature can require a titanic amount of work. That is why researchers who have spent their career working on a certain research issue are in a perfect position to review that literature. Some graduate schools are now offering courses in reviewing the literature, given that most research students start their project by producing an overview of what has already been done on their research issue [6] . However, it is likely that most scientists have not thought in detail about how to approach and carry out a literature review.

Reviewing the literature requires the ability to juggle multiple tasks, from finding and evaluating relevant material to synthesising information from various sources, from critical thinking to paraphrasing, evaluating, and citation skills [7] . In this contribution, I share ten simple rules I learned working on about 25 literature reviews as a PhD and postdoctoral student. Ideas and insights also come from discussions with coauthors and colleagues, as well as feedback from reviewers and editors.

Rule 1: Define a Topic and Audience

How to choose which topic to review? There are so many issues in contemporary science that you could spend a lifetime of attending conferences and reading the literature just pondering what to review. On the one hand, if you take several years to choose, several other people may have had the same idea in the meantime. On the other hand, only a well-considered topic is likely to lead to a brilliant literature review [8] . The topic must at least be:

• interesting to you (ideally, you should have come across a series of recent papers related to your line of work that call for a critical summary),
• an important aspect of the field (so that many readers will be interested in the review and there will be enough material to write it), and
• a well-defined issue (otherwise you could potentially include thousands of publications, which would make the review unhelpful).

Ideas for potential reviews may come from papers providing lists of key research questions to be answered [9] , but also from serendipitous moments during desultory reading and discussions. In addition to choosing your topic, you should also select a target audience. In many cases, the topic (e.g., web services in computational biology) will automatically define an audience (e.g., computational biologists), but that same topic may also be of interest to neighbouring fields (e.g., computer science, biology, etc.).

Rule 2: Search and Re-search the Literature

After having chosen your topic and audience, start by checking the literature and downloading relevant papers. Five pieces of advice here:

• keep track of the search items you use (so that your search can be replicated [10] ),
• keep a list of papers whose pdfs you cannot access immediately (so as to retrieve them later with alternative strategies),
• use a paper management system (e.g., Mendeley, Papers, Qiqqa, Sente),
• define early in the process some criteria for exclusion of irrelevant papers (these criteria can then be described in the review to help define its scope), and
• do not just look for research papers in the area you wish to review, but also seek previous reviews.

The chances are high that someone will already have published a literature review ( Figure 1 ), if not exactly on the issue you are planning to tackle, at least on a related topic. If there are already a few or several reviews of the literature on your issue, my advice is not to give up, but to carry on with your own literature review,

The bottom-right situation (many literature reviews but few research papers) is not just a theoretical situation; it applies, for example, to the study of the impacts of climate change on plant diseases, where there appear to be more literature reviews than research studies [33] .

• discussing in your review the approaches, limitations, and conclusions of past reviews,
• trying to find a new angle that has not been covered adequately in the previous reviews, and
• incorporating new material that has inevitably accumulated since their appearance.

When searching the literature for pertinent papers and reviews, the usual rules apply:

• be thorough,
• use different keywords and database sources (e.g., DBLP, Google Scholar, ISI Proceedings, JSTOR Search, Medline, Scopus, Web of Science), and
• look at who has cited past relevant papers and book chapters.

Rule 3: Take Notes While Reading

If you read the papers first, and only afterwards start writing the review, you will need a very good memory to remember who wrote what, and what your impressions and associations were while reading each single paper. My advice is, while reading, to start writing down interesting pieces of information, insights about how to organize the review, and thoughts on what to write. This way, by the time you have read the literature you selected, you will already have a rough draft of the review.

Of course, this draft will still need much rewriting, restructuring, and rethinking to obtain a text with a coherent argument [11] , but you will have avoided the danger posed by staring at a blank document. Be careful when taking notes to use quotation marks if you are provisionally copying verbatim from the literature. It is advisable then to reformulate such quotes with your own words in the final draft. It is important to be careful in noting the references already at this stage, so as to avoid misattributions. Using referencing software from the very beginning of your endeavour will save you time.

Rule 4: Choose the Type of Review You Wish to Write

After having taken notes while reading the literature, you will have a rough idea of the amount of material available for the review. This is probably a good time to decide whether to go for a mini- or a full review. Some journals are now favouring the publication of rather short reviews focusing on the last few years, with a limit on the number of words and citations. A mini-review is not necessarily a minor review: it may well attract more attention from busy readers, although it will inevitably simplify some issues and leave out some relevant material due to space limitations. A full review will have the advantage of more freedom to cover in detail the complexities of a particular scientific development, but may then be left in the pile of the very important papers “to be read” by readers with little time to spare for major monographs.

There is probably a continuum between mini- and full reviews. The same point applies to the dichotomy of descriptive vs. integrative reviews. While descriptive reviews focus on the methodology, findings, and interpretation of each reviewed study, integrative reviews attempt to find common ideas and concepts from the reviewed material [12] . A similar distinction exists between narrative and systematic reviews: while narrative reviews are qualitative, systematic reviews attempt to test a hypothesis based on the published evidence, which is gathered using a predefined protocol to reduce bias [13] , [14] . When systematic reviews analyse quantitative results in a quantitative way, they become meta-analyses. The choice between different review types will have to be made on a case-by-case basis, depending not just on the nature of the material found and the preferences of the target journal(s), but also on the time available to write the review and the number of coauthors [15] .

Rule 5: Keep the Review Focused, but Make It of Broad Interest

Whether your plan is to write a mini- or a full review, it is good advice to keep it focused 16 , 17 . Including material just for the sake of it can easily lead to reviews that are trying to do too many things at once. The need to keep a review focused can be problematic for interdisciplinary reviews, where the aim is to bridge the gap between fields [18] . If you are writing a review on, for example, how epidemiological approaches are used in modelling the spread of ideas, you may be inclined to include material from both parent fields, epidemiology and the study of cultural diffusion. This may be necessary to some extent, but in this case a focused review would only deal in detail with those studies at the interface between epidemiology and the spread of ideas.

While focus is an important feature of a successful review, this requirement has to be balanced with the need to make the review relevant to a broad audience. This square may be circled by discussing the wider implications of the reviewed topic for other disciplines.

Rule 6: Be Critical and Consistent

Reviewing the literature is not stamp collecting. A good review does not just summarize the literature, but discusses it critically, identifies methodological problems, and points out research gaps [19] . After having read a review of the literature, a reader should have a rough idea of:

• the major achievements in the reviewed field,
• the main areas of debate, and
• the outstanding research questions.

It is challenging to achieve a successful review on all these fronts. A solution can be to involve a set of complementary coauthors: some people are excellent at mapping what has been achieved, some others are very good at identifying dark clouds on the horizon, and some have instead a knack at predicting where solutions are going to come from. If your journal club has exactly this sort of team, then you should definitely write a review of the literature! In addition to critical thinking, a literature review needs consistency, for example in the choice of passive vs. active voice and present vs. past tense.

Rule 7: Find a Logical Structure

Like a well-baked cake, a good review has a number of telling features: it is worth the reader's time, timely, systematic, well written, focused, and critical. It also needs a good structure. With reviews, the usual subdivision of research papers into introduction, methods, results, and discussion does not work or is rarely used. However, a general introduction of the context and, toward the end, a recapitulation of the main points covered and take-home messages make sense also in the case of reviews. For systematic reviews, there is a trend towards including information about how the literature was searched (database, keywords, time limits) [20] .

How can you organize the flow of the main body of the review so that the reader will be drawn into and guided through it? It is generally helpful to draw a conceptual scheme of the review, e.g., with mind-mapping techniques. Such diagrams can help recognize a logical way to order and link the various sections of a review [21] . This is the case not just at the writing stage, but also for readers if the diagram is included in the review as a figure. A careful selection of diagrams and figures relevant to the reviewed topic can be very helpful to structure the text too [22] .

Rule 8: Make Use of Feedback

Reviews of the literature are normally peer-reviewed in the same way as research papers, and rightly so [23] . As a rule, incorporating feedback from reviewers greatly helps improve a review draft. Having read the review with a fresh mind, reviewers may spot inaccuracies, inconsistencies, and ambiguities that had not been noticed by the writers due to rereading the typescript too many times. It is however advisable to reread the draft one more time before submission, as a last-minute correction of typos, leaps, and muddled sentences may enable the reviewers to focus on providing advice on the content rather than the form.

Feedback is vital to writing a good review, and should be sought from a variety of colleagues, so as to obtain a diversity of views on the draft. This may lead in some cases to conflicting views on the merits of the paper, and on how to improve it, but such a situation is better than the absence of feedback. A diversity of feedback perspectives on a literature review can help identify where the consensus view stands in the landscape of the current scientific understanding of an issue [24] .

Rule 9: Include Your Own Relevant Research, but Be Objective

In many cases, reviewers of the literature will have published studies relevant to the review they are writing. This could create a conflict of interest: how can reviewers report objectively on their own work [25] ? Some scientists may be overly enthusiastic about what they have published, and thus risk giving too much importance to their own findings in the review. However, bias could also occur in the other direction: some scientists may be unduly dismissive of their own achievements, so that they will tend to downplay their contribution (if any) to a field when reviewing it.

In general, a review of the literature should neither be a public relations brochure nor an exercise in competitive self-denial. If a reviewer is up to the job of producing a well-organized and methodical review, which flows well and provides a service to the readership, then it should be possible to be objective in reviewing one's own relevant findings. In reviews written by multiple authors, this may be achieved by assigning the review of the results of a coauthor to different coauthors.

Rule 10: Be Up-to-Date, but Do Not Forget Older Studies

Given the progressive acceleration in the publication of scientific papers, today's reviews of the literature need awareness not just of the overall direction and achievements of a field of inquiry, but also of the latest studies, so as not to become out-of-date before they have been published. Ideally, a literature review should not identify as a major research gap an issue that has just been addressed in a series of papers in press (the same applies, of course, to older, overlooked studies (“sleeping beauties” [26] )). This implies that literature reviewers would do well to keep an eye on electronic lists of papers in press, given that it can take months before these appear in scientific databases. Some reviews declare that they have scanned the literature up to a certain point in time, but given that peer review can be a rather lengthy process, a full search for newly appeared literature at the revision stage may be worthwhile. Assessing the contribution of papers that have just appeared is particularly challenging, because there is little perspective with which to gauge their significance and impact on further research and society.

Inevitably, new papers on the reviewed topic (including independently written literature reviews) will appear from all quarters after the review has been published, so that there may soon be the need for an updated review. But this is the nature of science [27] – [32] . I wish everybody good luck with writing a review of the literature.

Acknowledgments

Many thanks to M. Barbosa, K. Dehnen-Schmutz, T. Döring, D. Fontaneto, M. Garbelotto, O. Holdenrieder, M. Jeger, D. Lonsdale, A. MacLeod, P. Mills, M. Moslonka-Lefebvre, G. Stancanelli, P. Weisberg, and X. Xu for insights and discussions, and to P. Bourne, T. Matoni, and D. Smith for helpful comments on a previous draft.

Funding Statement

This work was funded by the French Foundation for Research on Biodiversity (FRB) through its Centre for Synthesis and Analysis of Biodiversity data (CESAB), as part of the NETSEED research project. The funders had no role in the preparation of the manuscript.

Chaos to Clarity: Structuring Your Literature Review Format

Master literature review format! Learn key sections, effective citation & analysis tips to write a strong academic review.

Ever wondered how to dive into a mountain of books and articles and come up with something that not just makes sense but shines new light on a topic? What if there was a way to neatly tie together all that information, spot what’s missing, and maybe even pave the way for discoveries? 

That’s what you are going to learn in this article, literature reviews—a place where chaos meets order, and where your insights could set the stage for the next big thing. Let’s break down the literature review format , your essential guide to properly writing a literature review.

Dissecting Literature Review Format 

There are 6 main sections to make a note of while writing a literature review. Those are:

The Introduction Section

Topic background, conceptual framework.

• Synthesis and Evaluation in Literature Reviews
• Conclusion for Your Literature Review
• Reference List in Your Literature Review

Also Read: Essential Components of a Literature Review

The introduction of your literature review is where you set the stage for the entire document. It’s your first opportunity to engage your readers and provide a clear blueprint of what your review will cover and why it matters. This section does more than merely introduce the topic; it establishes the context, defines the scope, and outlines the purpose and objectives of your literature review.

Things to keep in mind while writing an introduction:

• Craft a compelling opening
• Establish the Context and Justification
• Define the Scope and Objectives
• Lay out the Structure
• Give an overview of the Structure

The “Topic Background” section of a literature review serves as the cornerstone for understanding the evolution and current state of the subject matter. It is divided into two crucial sub-sections: Historical Context and Current State of the Topic . 

Delving into these areas provides you with a comprehensive backdrop against which the literature review is framed, enriching the reader’s understanding of why the topic is of interest and what has influenced its development to the current state.

Historical Context

The Historical Context is fundamental in setting the stage for the entire literature review. This section is not just a chronology of events or developments; it’s a curated narrative that highlights the key milestones and turning points that have significantly impacted the topic. 

By examining the historical evolution, the review establishes a timeline of how understanding and perspectives have shifted over the years.

Summary Of Key Historical Developments

This involves identifying and summarizing the major breakthroughs, shifts in thinking, or seminal works that have shaped the topic. It’s important to focus on developments that have a direct relevance to the current understanding and state of the subject. For example, if the topic is about the evolution of renewable energy technologies, this part would outline the initial discovery and use of renewable sources, significant technological innovations, and pivotal policy decisions that have influenced the field.

Relevance Of Historical Context To The Topic

After outlining the key historical developments, it’s crucial to connect these events to the present topic. This means discussing how past events have laid the groundwork for current theories, practices, or debates within the field. It involves analyzing the impact of historical milestones on the subject matter, and explaining how they have contributed to current knowledge, challenges, and research questions. This section makes it clear why understanding history is essential for anyone researching or studying the topic today.

Current State Of The Topic

Moving from the historical context, the review transitions to the present with the Current State of the Topic. This part assesses the latest research, trends, debates, and technological advancements that define the subject area at the moment.

Current Trends Or Updates

Here, the focus shifts to what is happening in the field right now. This could include recent research findings, emerging theories, new methodologies, or the latest technological innovations. The aim is to provide a snapshot of the current research landscape, identifying what themes, questions, or problems are being actively explored. For instance, in the context of digital marketing, this might involve discussing the rise of artificial intelligence in customer relationship management or the impact of social media trends on marketing strategies.

Impact Of These Trends On The Subject Matter

The final step is to assess the implications of these current trends for the topic. This includes considering how recent developments have advanced the field, the challenges they present, and the opportunities they open up for future research. It’s about connecting the dots between what’s happening now and what it means for the subject area moving forward. This not only helps to frame the research questions that the literature review will address but also sets the stage for identifying gaps in the current knowledge, thereby guiding the direction of future studies.

Also Read: What is a literature review? Get the concept and start using it

When doing a literature review, it’s essential to lay a solid foundation for your exploration through a well-defined conceptual framework. This framework acts as a compass, guiding your review’s direction by establishing the key concepts, theories, and perspectives that underpin your topic. 

Definitions And Descriptions

Before diving into the depths of your literature review, it’s crucial to start with the basics. This means clearly identifying and defining the key concepts related to your topic. Think of this as setting the stage for your readers, ensuring they have a clear understanding of the fundamental terms and ideas you will be exploring.

Key Concepts Related To The Topic

Begin by listing the essential concepts central to your review. These are the building blocks of your topic, the terms that will repeatedly appear throughout your exploration. 

Detailed Definitions And Their Relevance

Once you’ve identified these concepts, provide precise and comprehensive definitions for each. Don’t hesitate to explore different dimensions or interpretations of these terms, as this can enrich your readers’ understanding. More importantly, discuss why these concepts are crucial to your review. How do they shape the scope of your exploration? How do they relate to each other and to the broader topic? This step ensures that your readers are not just familiar with the terms but also understand their significance within your review’s context.

Theoretical Perspectives

With the key concepts clearly defined, it’s time to frame your literature review within relevant theoretical perspectives. This is where you align your exploration with existing theories, models, or frameworks that provide insights into your topic.

Important Theories Related To The Topic

Identify the theories that are foundational to your topic. These could range from well-established theories that have long guided research in your field to more contemporary models that offer new insights. For example, a review of organizational behavior might draw on theories of motivation, leadership styles, and organizational culture.

Evaluation Of These Theories And Their Influence On The Topic

After pinpointing the relevant theories, critically assess their contributions to the topic. Consider questions like: How have these theories shaped understanding of the topic? What insights do they offer, and where do they fall short? Are there controversies or debates surrounding these theories? This evaluation not only deepens your review’s analytical depth but also positions your work within the larger academic conversation.

Synthesis And Evaluation In Literature Reviews

The “Synthesis and Evaluation” section is where your literature review truly comes to life. Here, you’re not just summarizing what others have said; you’re weaving together diverse strands of research to present a cohesive picture of the topic at hand.

Comparison And Contrast Of Sources

Synthesizing the literature involves more than listing findings from various studies; it’s about drawing connections between them, highlighting areas of agreement and dispute, and weaving these into a narrative that adds depth and breadth to your understanding of the topic.

Comparative Analysis

Start by grouping your sources based on similarities in their findings, methodologies, or theoretical approaches. This clustering will help you identify trends and common themes across the literature. For example, if several studies have found similar outcomes under comparable conditions, these findings can be grouped to strengthen a particular argument or observation about the topic.

Contrasts Or Conflicts Among Sources

Equally important is the identification of discrepancies in the literature. Do some studies present findings that directly contradict others? Are there differences in how researchers have interpreted similar data? Highlighting these conflicts is crucial, as it can indicate areas where the topic is still evolving or where further research is needed. It also shows your ability to critically engage with the material, a hallmark of scholarly rigor.

Analysis Of Gaps In Literature

One of your primary tasks in the synthesis and evaluation section is to identify what’s missing in the current body of research. This requires a critical eye and a deep understanding of both your topic and the broader field in which it resides.

Identification Of Research Gaps

As you comb through the literature, ask yourself: What questions remain unanswered? Are there underexplored areas or populations? Perhaps certain methodologies have been overlooked, or theoretical perspectives have not been considered. Pinpointing these gaps is not a mere exercise in academic critique; it’s a vital step in advancing knowledge within the field.

Implications Of These Gaps For Future Research

Highlighting gaps in the literature sets the stage for future studies. It’s where you, as the reviewer, can suggest new research directions that could fill these voids or further explore the topic. Discussing the implications of these gaps not only enriches your review but also contributes to the ongoing scholarly conversation. 

Conclusion For Your Literature Review

The conclusion of your literature review is where you bring together all the strands of your argument, synthesizing the insights gained and highlighting the significance of your findings. It’s not just a summary of what has been discussed; it’s an opportunity to underscore the relevance of the review, reflect on the broader implications of your synthesis and evaluation, and suggest directions for future research. 

Summary Of Key Points

Start your conclusion by succinctly summarizing the main points and findings of your review. This isn’t about rehashing every detail but rather about distilling the essence of your exploration. Highlight the critical trends, themes, and conflicts you’ve uncovered, and remind your readers of the significance of these discoveries.

Relevance And Implications Of The Literature For The Topic

Next, focus on the relevance and implications of your findings. This involves stepping back to consider the bigger picture—how does your literature review contribute to the understanding of your topic? Discuss the impact of the trends and gaps you’ve identified on the field, and elaborate on how your synthesis of the literature advances or enriches existing knowledge.

Reflection On The Research Process

Reflecting on the research process itself can provide valuable insights. Consider discussing the challenges you encountered in navigating the literature, such as dealing with conflicting findings or the scarcity of research on certain aspects of your topic. 

Directions For Future Research

One of the most critical aspects of your conclusion is to suggest directions for future research. Be as precise as possible, whether suggesting new methodologies, theoretical frameworks, or specific topics that warrant deeper investigation.

Final Thoughts

End your conclusion with a strong closing statement that reiterates the value of your literature review. Emphasize the importance of continued research on your topic and the potential it holds for advanced understanding within your field. A compelling conclusion reaffirms the significance of your work, leaving your readers with a clear sense of its contribution and the urgent need for further exploration.

Reference List In Your Literature Review

The Reference List is the backbone of your literature review, providing a comprehensive compilation of all the sources you’ve cited throughout your exploration. It’s not merely a formality but a crucial component that lends credibility and rigor to your work.

Importance Of Accuracy And Consistency

The cornerstone of a reliable Reference List is accuracy and consistency in citation style. Whether you’re adhering to APA , MLA , Chicago , or another academic citation format, it’s vital to apply the rules with precision. This includes correctly formatting author names, publication dates, titles, and publication details. 

Organizing Your References

While different citation styles have their own rules for listing references, organizing them in a way that enhances readability and accessibility is universally beneficial. Alphabetical order by the author’s last name is the most common method, as it allows readers to easily locate sources.

Comprehensive Coverage

Your Reference List should be exhaustive, including every work you’ve cited in your review. This extends beyond journal articles and books to encompass reports, conference papers, online resources, and any other materials that have informed your analysis.

The Value Of Annotations

While not always required, providing brief annotations for key sources can add tremendous value to your Reference List. An annotated bibliography offers a succinct summary of each source’s main arguments, methodologies, and findings, as well as its relevance to your literature review.

Digital Accessibility

In today’s digital age, considering the accessibility of your referenced works can greatly enhance the utility of your Reference List. Whenever possible, include Digital Object Identifiers (DOIs) or stable URLs for online sources, ensuring readers can directly access the materials. 

Also read: What Is A DOI? Exploring The Purpose And Importance

Reflecting On Ethical Scholarship

Finally, your Reference List is a reflection of ethical scholarship. By accurately citing all the sources that have informed your work, you’re honoring the intellectual property of other researchers and upholding the academic community’s standards of integrity and respect. 

Crafting a meticulous Reference List is an essential aspect of your literature review that underscores the credibility, depth, and ethical foundation of your research. By adhering to the principles of accuracy, comprehensiveness, and accessibility, you not only facilitate further inquiry but also pay homage to the collective endeavor of knowledge advancement in your field.

Related Article: Navigating the AMA Citation Format: Best Tips for Referencing

In conclusion, writing a literature review involves meticulous structuring, beginning with an engaging introduction that sets the stage, followed by a detailed exploration of the topic’s background, including its historical context and current state. 

A robust conceptual framework lays the groundwork for analysis, leading to a critical synthesis and evaluation of relevant literature. 

The conclusion ties together the review’s key findings and implications, while the reference list meticulously catalogs all cited works. Mastering each section ensures a comprehensive and insightful review, essential for advancing academic understanding and contributing to scholarly discussions.

Related Article: Preliminary Literature Review: A Guide for Effective Research

Science Figures, Graphical Abstracts, And Infographics For Your Research

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About Sowjanya Pedada

Sowjanya is a passionate writer and an avid reader. She holds MBA in Agribusiness Management and now is working as a content writer. She loves to play with words and hopes to make a difference in the world through her writings. Apart from writing, she is interested in reading fiction novels and doing craftwork. She also loves to travel and explore different cuisines and spend time with her family and friends.

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A literature review is a document or section of a document that collects key sources on a topic and discusses those sources in conversation with each other (also called synthesis ). The lit review is an important genre in many disciplines, not just literature (i.e., the study of works of literature such as novels and plays). When we say “literature review” or refer to “the literature,” we are talking about the research ( scholarship ) in a given field. You will often see the terms “the research,” “the scholarship,” and “the literature” used mostly interchangeably.

Where, when, and why would I write a lit review?

There are a number of different situations where you might write a literature review, each with slightly different expectations; different disciplines, too, have field-specific expectations for what a literature review is and does. For instance, in the humanities, authors might include more overt argumentation and interpretation of source material in their literature reviews, whereas in the sciences, authors are more likely to report study designs and results in their literature reviews; these differences reflect these disciplines’ purposes and conventions in scholarship. You should always look at examples from your own discipline and talk to professors or mentors in your field to be sure you understand your discipline’s conventions, for literature reviews as well as for any other genre.

A literature review can be a part of a research paper or scholarly article, usually falling after the introduction and before the research methods sections. In these cases, the lit review just needs to cover scholarship that is important to the issue you are writing about; sometimes it will also cover key sources that informed your research methodology.

Lit reviews can also be standalone pieces, either as assignments in a class or as publications. In a class, a lit review may be assigned to help students familiarize themselves with a topic and with scholarship in their field, get an idea of the other researchers working on the topic they’re interested in, find gaps in existing research in order to propose new projects, and/or develop a theoretical framework and methodology for later research. As a publication, a lit review usually is meant to help make other scholars’ lives easier by collecting and summarizing, synthesizing, and analyzing existing research on a topic. This can be especially helpful for students or scholars getting into a new research area, or for directing an entire community of scholars toward questions that have not yet been answered.

What are the parts of a lit review?

Most lit reviews use a basic introduction-body-conclusion structure; if your lit review is part of a larger paper, the introduction and conclusion pieces may be just a few sentences while you focus most of your attention on the body. If your lit review is a standalone piece, the introduction and conclusion take up more space and give you a place to discuss your goals, research methods, and conclusions separately from where you discuss the literature itself.

Introduction:

• An introductory paragraph that explains what your working topic and thesis is
• A forecast of key topics or texts that will appear in the review
• Potentially, a description of how you found sources and how you analyzed them for inclusion and discussion in the review (more often found in published, standalone literature reviews than in lit review sections in an article or research paper)
• Summarize and synthesize: Give an overview of the main points of each source and combine them into a coherent whole
• Analyze and interpret: Don’t just paraphrase other researchers – add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
• Critically Evaluate: Mention the strengths and weaknesses of your sources
• Write in well-structured paragraphs: Use transition words and topic sentence to draw connections, comparisons, and contrasts.

Conclusion:

• Summarize the key findings you have taken from the literature and emphasize their significance
• Connect it back to your primary research question

How should I organize my lit review?

Lit reviews can take many different organizational patterns depending on what you are trying to accomplish with the review. Here are some examples:

• Chronological : The simplest approach is to trace the development of the topic over time, which helps familiarize the audience with the topic (for instance if you are introducing something that is not commonly known in your field). If you choose this strategy, be careful to avoid simply listing and summarizing sources in order. Try to analyze the patterns, turning points, and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred (as mentioned previously, this may not be appropriate in your discipline — check with a teacher or mentor if you’re unsure).
• Thematic : If you have found some recurring central themes that you will continue working with throughout your piece, you can organize your literature review into subsections that address different aspects of the topic. For example, if you are reviewing literature about women and religion, key themes can include the role of women in churches and the religious attitude towards women.
• Qualitative versus quantitative research
• Empirical versus theoretical scholarship
• Divide the research by sociological, historical, or cultural sources
• Theoretical : In many humanities articles, the literature review is the foundation for the theoretical framework. You can use it to discuss various theories, models, and definitions of key concepts. You can argue for the relevance of a specific theoretical approach or combine various theorical concepts to create a framework for your research.

What are some strategies or tips I can use while writing my lit review?

Any lit review is only as good as the research it discusses; make sure your sources are well-chosen and your research is thorough. Don’t be afraid to do more research if you discover a new thread as you’re writing. More info on the research process is available in our "Conducting Research" resources .

As you’re doing your research, create an annotated bibliography ( see our page on the this type of document ). Much of the information used in an annotated bibliography can be used also in a literature review, so you’ll be not only partially drafting your lit review as you research, but also developing your sense of the larger conversation going on among scholars, professionals, and any other stakeholders in your topic.

Usually you will need to synthesize research rather than just summarizing it. This means drawing connections between sources to create a picture of the scholarly conversation on a topic over time. Many student writers struggle to synthesize because they feel they don’t have anything to add to the scholars they are citing; here are some strategies to help you:

• It often helps to remember that the point of these kinds of syntheses is to show your readers how you understand your research, to help them read the rest of your paper.
• Writing teachers often say synthesis is like hosting a dinner party: imagine all your sources are together in a room, discussing your topic. What are they saying to each other?
• Look at the in-text citations in each paragraph. Are you citing just one source for each paragraph? This usually indicates summary only. When you have multiple sources cited in a paragraph, you are more likely to be synthesizing them (not always, but often
• Read more about synthesis here.

The most interesting literature reviews are often written as arguments (again, as mentioned at the beginning of the page, this is discipline-specific and doesn’t work for all situations). Often, the literature review is where you can establish your research as filling a particular gap or as relevant in a particular way. You have some chance to do this in your introduction in an article, but the literature review section gives a more extended opportunity to establish the conversation in the way you would like your readers to see it. You can choose the intellectual lineage you would like to be part of and whose definitions matter most to your thinking (mostly humanities-specific, but this goes for sciences as well). In addressing these points, you argue for your place in the conversation, which tends to make the lit review more compelling than a simple reporting of other sources.

A systematic literature review of empirical research on ChatGPT in education

• Open access
• Published: 26 May 2024
• Volume 3 , article number  60 , ( 2024 )

Cite this article

You have full access to this open access article

• Yazid Albadarin   ORCID: orcid.org/0009-0005-8068-8902 1 ,
• Mohammed Saqr 1 ,
• Nicolas Pope 1 &
• Markku Tukiainen 1  

Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in 2022 and before the 10th of April 2023—the date of conducting the search process. It carefully followed the essential steps outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, as well as Okoli’s (Okoli in Commun Assoc Inf Syst, 2015) steps for conducting a rigorous and transparent systematic review. In this review, we aimed to explore how students and teachers have utilized ChatGPT in various educational settings, as well as the primary findings of those studies. By employing Creswell’s (Creswell in Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook], Pearson Education, London, 2015) coding techniques for data extraction and interpretation, we sought to gain insight into their initial attempts at ChatGPT incorporation into education. This approach also enabled us to extract insights and considerations that can facilitate its effective and responsible use in future educational contexts. The results of this review show that learners have utilized ChatGPT as a virtual intelligent assistant, where it offered instant feedback, on-demand answers, and explanations of complex topics. Additionally, learners have used it to enhance their writing and language skills by generating ideas, composing essays, summarizing, translating, paraphrasing texts, or checking grammar. Moreover, learners turned to it as an aiding tool to facilitate their directed and personalized learning by assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks. However, the results of specific studies (n = 3, 21.4%) show that overuse of ChatGPT may negatively impact innovative capacities and collaborative learning competencies among learners. Educators, on the other hand, have utilized ChatGPT to create lesson plans, generate quizzes, and provide additional resources, which helped them enhance their productivity and efficiency and promote different teaching methodologies. Despite these benefits, the majority of the reviewed studies recommend the importance of conducting structured training, support, and clear guidelines for both learners and educators to mitigate the drawbacks. This includes developing critical evaluation skills to assess the accuracy and relevance of information provided by ChatGPT, as well as strategies for integrating human interaction and collaboration into learning activities that involve AI tools. Furthermore, they also recommend ongoing research and proactive dialogue with policymakers, stakeholders, and educational practitioners to refine and enhance the use of AI in learning environments. This review could serve as an insightful resource for practitioners who seek to integrate ChatGPT into education and stimulate further research in the field.

Avoid common mistakes on your manuscript.

1 Introduction

Educational technology, a rapidly evolving field, plays a crucial role in reshaping the landscape of teaching and learning [ 82 ]. One of the most transformative technological innovations of our era that has influenced the field of education is Artificial Intelligence (AI) [ 50 ]. Over the last four decades, AI in education (AIEd) has gained remarkable attention for its potential to make significant advancements in learning, instructional methods, and administrative tasks within educational settings [ 11 ]. In particular, a large language model (LLM), a type of AI algorithm that applies artificial neural networks (ANNs) and uses massively large data sets to understand, summarize, generate, and predict new content that is almost difficult to differentiate from human creations [ 79 ], has opened up novel possibilities for enhancing various aspects of education, from content creation to personalized instruction [ 35 ]. Chatbots that leverage the capabilities of LLMs to understand and generate human-like responses have also presented the capacity to enhance student learning and educational outcomes by engaging students, offering timely support, and fostering interactive learning experiences [ 46 ].

The ongoing and remarkable technological advancements in chatbots have made their use more convenient, increasingly natural and effortless, and have expanded their potential for deployment across various domains [ 70 ]. One prominent example of chatbot applications is the Chat Generative Pre-Trained Transformer, known as ChatGPT, which was introduced by OpenAI, a leading AI research lab, on November 30th, 2022. ChatGPT employs a variety of deep learning techniques to generate human-like text, with a particular focus on recurrent neural networks (RNNs). Long short-term memory (LSTM) allows it to grasp the context of the text being processed and retain information from previous inputs. Also, the transformer architecture, a neural network architecture based on the self-attention mechanism, allows it to analyze specific parts of the input, thereby enabling it to produce more natural-sounding and coherent output. Additionally, the unsupervised generative pre-training and the fine-tuning methods allow ChatGPT to generate more relevant and accurate text for specific tasks [ 31 , 62 ]. Furthermore, reinforcement learning from human feedback (RLHF), a machine learning approach that combines reinforcement learning techniques with human-provided feedback, has helped improve ChatGPT’s model by accelerating the learning process and making it significantly more efficient.

This cutting-edge natural language processing (NLP) tool is widely recognized as one of today's most advanced LLMs-based chatbots [ 70 ], allowing users to ask questions and receive detailed, coherent, systematic, personalized, convincing, and informative human-like responses [ 55 ], even within complex and ambiguous contexts [ 63 , 77 ]. ChatGPT is considered the fastest-growing technology in history: in just three months following its public launch, it amassed an estimated 120 million monthly active users [ 16 ] with an estimated 13 million daily queries [ 49 ], surpassing all other applications [ 64 ]. This remarkable growth can be attributed to the unique features and user-friendly interface that ChatGPT offers. Its intuitive design allows users to interact seamlessly with the technology, making it accessible to a diverse range of individuals, regardless of their technical expertise [ 78 ]. Additionally, its exceptional performance results from a combination of advanced algorithms, continuous enhancements, and extensive training on a diverse dataset that includes various text sources such as books, articles, websites, and online forums [ 63 ], have contributed to a more engaging and satisfying user experience [ 62 ]. These factors collectively explain its remarkable global growth and set it apart from predecessors like Bard, Bing Chat, ERNIE, and others.

In this context, several studies have explored the technological advancements of chatbots. One noteworthy recent research effort, conducted by Schöbel et al. [ 70 ], stands out for its comprehensive analysis of more than 5,000 studies on communication agents. This study offered a comprehensive overview of the historical progression and future prospects of communication agents, including ChatGPT. Moreover, other studies have focused on making comparisons, particularly between ChatGPT and alternative chatbots like Bard, Bing Chat, ERNIE, LaMDA, BlenderBot, and various others. For example, O’Leary [ 53 ] compared two chatbots, LaMDA and BlenderBot, with ChatGPT and revealed that ChatGPT outperformed both. This superiority arises from ChatGPT’s capacity to handle a wider range of questions and generate slightly varied perspectives within specific contexts. Similarly, ChatGPT exhibited an impressive ability to formulate interpretable responses that were easily understood when compared with Google's feature snippet [ 34 ]. Additionally, ChatGPT was compared to other LLMs-based chatbots, including Bard and BERT, as well as ERNIE. The findings indicated that ChatGPT exhibited strong performance in the given tasks, often outperforming the other models [ 59 ].

Furthermore, in the education context, a comprehensive study systematically compared a range of the most promising chatbots, including Bard, Bing Chat, ChatGPT, and Ernie across a multidisciplinary test that required higher-order thinking. The study revealed that ChatGPT achieved the highest score, surpassing Bing Chat and Bard [ 64 ]. Similarly, a comparative analysis was conducted to compare ChatGPT with Bard in answering a set of 30 mathematical questions and logic problems, grouped into two question sets. Set (A) is unavailable online, while Set (B) is available online. The results revealed ChatGPT's superiority in Set (A) over Bard. Nevertheless, Bard's advantage emerged in Set (B) due to its capacity to access the internet directly and retrieve answers, a capability that ChatGPT does not possess [ 57 ]. However, through these varied assessments, ChatGPT consistently highlights its exceptional prowess compared to various alternatives in the ever-evolving chatbot technology.

The widespread adoption of chatbots, especially ChatGPT, by millions of students and educators, has sparked extensive discussions regarding its incorporation into the education sector [ 64 ]. Accordingly, many scholars have contributed to the discourse, expressing both optimism and pessimism regarding the incorporation of ChatGPT into education. For example, ChatGPT has been highlighted for its capabilities in enriching the learning and teaching experience through its ability to support different learning approaches, including adaptive learning, personalized learning, and self-directed learning [ 58 , 60 , 91 ]), deliver summative and formative feedback to students and provide real-time responses to questions, increase the accessibility of information [ 22 , 40 , 43 ], foster students’ performance, engagement and motivation [ 14 , 44 , 58 ], and enhance teaching practices [ 17 , 18 , 64 , 74 ].

On the other hand, concerns have been also raised regarding its potential negative effects on learning and teaching. These include the dissemination of false information and references [ 12 , 23 , 61 , 85 ], biased reinforcement [ 47 , 50 ], compromised academic integrity [ 18 , 40 , 66 , 74 ], and the potential decline in students' skills [ 43 , 61 , 64 , 74 ]. As a result, ChatGPT has been banned in multiple countries, including Russia, China, Venezuela, Belarus, and Iran, as well as in various educational institutions in India, Italy, Western Australia, France, and the United States [ 52 , 90 ].

Clearly, the advent of chatbots, especially ChatGPT, has provoked significant controversy due to their potential impact on learning and teaching. This indicates the necessity for further exploration to gain a deeper understanding of this technology and carefully evaluate its potential benefits, limitations, challenges, and threats to education [ 79 ]. Therefore, conducting a systematic literature review will provide valuable insights into the potential prospects and obstacles linked to its incorporation into education. This systematic literature review will primarily focus on ChatGPT, driven by the aforementioned key factors outlined above.

However, the existing literature lacks a systematic literature review of empirical studies. Thus, this systematic literature review aims to address this gap by synthesizing the existing empirical studies conducted on chatbots, particularly ChatGPT, in the field of education, highlighting how ChatGPT has been utilized in educational settings, and identifying any existing gaps. This review may be particularly useful for researchers in the field and educators who are contemplating the integration of ChatGPT or any chatbot into education. The following research questions will guide this study:

What are students' and teachers' initial attempts at utilizing ChatGPT in education?

What are the main findings derived from empirical studies that have incorporated ChatGPT into learning and teaching?

2 Methodology

To conduct this study, the authors followed the essential steps of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) and Okoli’s [ 54 ] steps for conducting a systematic review. These included identifying the study’s purpose, drafting a protocol, applying a practical screening process, searching the literature, extracting relevant data, evaluating the quality of the included studies, synthesizing the studies, and ultimately writing the review. The subsequent section provides an extensive explanation of how these steps were carried out in this study.

2.1 Identify the purpose

Given the widespread adoption of ChatGPT by students and teachers for various educational purposes, often without a thorough understanding of responsible and effective use or a clear recognition of its potential impact on learning and teaching, the authors recognized the need for further exploration of ChatGPT's impact on education in this early stage. Therefore, they have chosen to conduct a systematic literature review of existing empirical studies that incorporate ChatGPT into educational settings. Despite the limited number of empirical studies due to the novelty of the topic, their goal is to gain a deeper understanding of this technology and proactively evaluate its potential benefits, limitations, challenges, and threats to education. This effort could help to understand initial reactions and attempts at incorporating ChatGPT into education and bring out insights and considerations that can inform the future development of education.

2.2 Draft the protocol

The next step is formulating the protocol. This protocol serves to outline the study process in a rigorous and transparent manner, mitigating researcher bias in study selection and data extraction [ 88 ]. The protocol will include the following steps: generating the research question, predefining a literature search strategy, identifying search locations, establishing selection criteria, assessing the studies, developing a data extraction strategy, and creating a timeline.

2.3 Apply practical screen

The screening step aims to accurately filter the articles resulting from the searching step and select the empirical studies that have incorporated ChatGPT into educational contexts, which will guide us in answering the research questions and achieving the objectives of this study. To ensure the rigorous execution of this step, our inclusion and exclusion criteria were determined based on the authors' experience and informed by previous successful systematic reviews [ 21 ]. Table 1 summarizes the inclusion and exclusion criteria for study selection.

2.4 Literature search

We conducted a thorough literature search to identify articles that explored, examined, and addressed the use of ChatGPT in Educational contexts. We utilized two research databases: Dimensions.ai, which provides access to a large number of research publications, and lens.org, which offers access to over 300 million articles, patents, and other research outputs from diverse sources. Additionally, we included three databases, Scopus, Web of Knowledge, and ERIC, which contain relevant research on the topic that addresses our research questions. To browse and identify relevant articles, we used the following search formula: ("ChatGPT" AND "Education"), which included the Boolean operator "AND" to get more specific results. The subject area in the Scopus and ERIC databases were narrowed to "ChatGPT" and "Education" keywords, and in the WoS database was limited to the "Education" category. The search was conducted between the 3rd and 10th of April 2023, which resulted in 276 articles from all selected databases (111 articles from Dimensions.ai, 65 from Scopus, 28 from Web of Science, 14 from ERIC, and 58 from Lens.org). These articles were imported into the Rayyan web-based system for analysis. The duplicates were identified automatically by the system. Subsequently, the first author manually reviewed the duplicated articles ensured that they had the same content, and then removed them, leaving us with 135 unique articles. Afterward, the titles, abstracts, and keywords of the first 40 manuscripts were scanned and reviewed by the first author and were discussed with the second and third authors to resolve any disagreements. Subsequently, the first author proceeded with the filtering process for all articles and carefully applied the inclusion and exclusion criteria as presented in Table  1 . Articles that met any one of the exclusion criteria were eliminated, resulting in 26 articles. Afterward, the authors met to carefully scan and discuss them. The authors agreed to eliminate any empirical studies solely focused on checking ChatGPT capabilities, as these studies do not guide us in addressing the research questions and achieving the study's objectives. This resulted in 14 articles eligible for analysis.

2.5 Quality appraisal

The examination and evaluation of the quality of the extracted articles is a vital step [ 9 ]. Therefore, the extracted articles were carefully evaluated for quality using Fink’s [ 24 ] standards, which emphasize the necessity for detailed descriptions of methodology, results, conclusions, strengths, and limitations. The process began with a thorough assessment of each study's design, data collection, and analysis methods to ensure their appropriateness and comprehensive execution. The clarity, consistency, and logical progression from data to results and conclusions were also critically examined. Potential biases and recognized limitations within the studies were also scrutinized. Ultimately, two articles were excluded for failing to meet Fink’s criteria, particularly in providing sufficient detail on methodology, results, conclusions, strengths, or limitations. The review process is illustrated in Fig.  1 .

The study selection process

2.6 Data extraction

The next step is data extraction, the process of capturing the key information and categories from the included studies. To improve efficiency, reduce variation among authors, and minimize errors in data analysis, the coding categories were constructed using Creswell's [ 15 ] coding techniques for data extraction and interpretation. The coding process involves three sequential steps. The initial stage encompasses open coding , where the researcher examines the data, generates codes to describe and categorize it, and gains a deeper understanding without preconceived ideas. Following open coding is axial coding , where the interrelationships between codes from open coding are analyzed to establish more comprehensive categories or themes. The process concludes with selective coding , refining and integrating categories or themes to identify core concepts emerging from the data. The first coder performed the coding process, then engaged in discussions with the second and third authors to finalize the coding categories for the first five articles. The first coder then proceeded to code all studies and engaged again in discussions with the other authors to ensure the finalization of the coding process. After a comprehensive analysis and capturing of the key information from the included studies, the data extraction and interpretation process yielded several themes. These themes have been categorized and are presented in Table  2 . It is important to note that open coding results were removed from Table  2 for aesthetic reasons, as it included many generic aspects, such as words, short phrases, or sentences mentioned in the studies.

2.7 Synthesize studies

In this stage, we will gather, discuss, and analyze the key findings that emerged from the selected studies. The synthesis stage is considered a transition from an author-centric to a concept-centric focus, enabling us to map all the provided information to achieve the most effective evaluation of the data [ 87 ]. Initially, the authors extracted data that included general information about the selected studies, including the author(s)' names, study titles, years of publication, educational levels, research methodologies, sample sizes, participants, main aims or objectives, raw data sources, and analysis methods. Following that, all key information and significant results from the selected studies were compiled using Creswell’s [ 15 ] coding techniques for data extraction and interpretation to identify core concepts and themes emerging from the data, focusing on those that directly contributed to our research questions and objectives, such as the initial utilization of ChatGPT in learning and teaching, learners' and educators' familiarity with ChatGPT, and the main findings of each study. Finally, the data related to each selected study were extracted into an Excel spreadsheet for data processing. The Excel spreadsheet was reviewed by the authors, including a series of discussions to ensure the finalization of this process and prepare it for further analysis. Afterward, the final result being analyzed and presented in various types of charts and graphs. Table 4 presents the extracted data from the selected studies, with each study labeled with a capital 'S' followed by a number.

This section consists of two main parts. The first part provides a descriptive analysis of the data compiled from the reviewed studies. The second part presents the answers to the research questions and the main findings of these studies.

3.1 Part 1: descriptive analysis

This section will provide a descriptive analysis of the reviewed studies, including educational levels and fields, participants distribution, country contribution, research methodologies, study sample size, study population, publication year, list of journals, familiarity with ChatGPT, source of data, and the main aims and objectives of the studies. Table 4 presents a comprehensive overview of the extracted data from the selected studies.

3.1.1 The number of the reviewed studies and publication years

The total number of the reviewed studies was 14. All studies were empirical studies and published in different journals focusing on Education and Technology. One study was published in 2022 [S1], while the remaining were published in 2023 [S2]-[S14]. Table 3 illustrates the year of publication, the names of the journals, and the number of reviewed studies published in each journal for the studies reviewed.

3.1.2 Educational levels and fields

The majority of the reviewed studies, 11 studies, were conducted in higher education institutions [S1]-[S10] and [S13]. Two studies did not specify the educational level of the population [S12] and [S14], while one study focused on elementary education [S11]. However, the reviewed studies covered various fields of education. Three studies focused on Arts and Humanities Education [S8], [S11], and [S14], specifically English Education. Two studies focused on Engineering Education, with one in Computer Engineering [S2] and the other in Construction Education [S3]. Two studies focused on Mathematics Education [S5] and [S12]. One study focused on Social Science Education [S13]. One study focused on Early Education [S4]. One study focused on Journalism Education [S9]. Finally, three studies did not specify the field of education [S1], [S6], and [S7]. Figure  2 represents the educational levels in the reviewed studies, while Fig.  3 represents the context of the reviewed studies.

Educational levels in the reviewed studies

Context of the reviewed studies

3.1.3 Participants distribution and countries contribution

The reviewed studies have been conducted across different geographic regions, providing a diverse representation of the studies. The majority of the studies, 10 in total, [S1]-[S3], [S5]-[S9], [S11], and [S14], primarily focused on participants from single countries such as Pakistan, the United Arab Emirates, China, Indonesia, Poland, Saudi Arabia, South Korea, Spain, Tajikistan, and the United States. In contrast, four studies, [S4], [S10], [S12], and [S13], involved participants from multiple countries, including China and the United States [S4], China, the United Kingdom, and the United States [S10], the United Arab Emirates, Oman, Saudi Arabia, and Jordan [S12], Turkey, Sweden, Canada, and Australia [ 13 ]. Figures  4 and 5 illustrate the distribution of participants, whether from single or multiple countries, and the contribution of each country in the reviewed studies, respectively.

The reviewed studies conducted in single or multiple countries

The Contribution of each country in the studies

3.1.4 Study population and sample size

Four study populations were included: university students, university teachers, university teachers and students, and elementary school teachers. Six studies involved university students [S2], [S3], [S5] and [S6]-[S8]. Three studies focused on university teachers [S1], [S4], and [S6], while one study specifically targeted elementary school teachers [S11]. Additionally, four studies included both university teachers and students [S10] and [ 12 , 13 , 14 ], and among them, study [S13] specifically included postgraduate students. In terms of the sample size of the reviewed studies, nine studies included a small sample size of less than 50 participants [S1], [S3], [S6], [S8], and [S10]-[S13]. Three studies had 50–100 participants [S2], [S9], and [S14]. Only one study had more than 100 participants [S7]. It is worth mentioning that study [S4] adopted a mixed methods approach, including 10 participants for qualitative analysis and 110 participants for quantitative analysis.

3.1.5 Participants’ familiarity with using ChatGPT

The reviewed studies recruited a diverse range of participants with varying levels of familiarity with ChatGPT. Five studies [S2], [S4], [S6], [S8], and [S12] involved participants already familiar with ChatGPT, while eight studies [S1], [S3], [S5], [S7], [S9], [S10], [S13] and [S14] included individuals with differing levels of familiarity. Notably, one study [S11] had participants who were entirely unfamiliar with ChatGPT. It is important to note that four studies [S3], [S5], [S9], and [S11] provided training or guidance to their participants before conducting their studies, while ten studies [S1], [S2], [S4], [S6]-[S8], [S10], and [S12]-[S14] did not provide training due to the participants' existing familiarity with ChatGPT.

3.1.6 Research methodology approaches and source(S) of data

The reviewed studies adopted various research methodology approaches. Seven studies adopted qualitative research methodology [S1], [S4], [S6], [S8], [S10], [S11], and [S12], while three studies adopted quantitative research methodology [S3], [S7], and [S14], and four studies employed mixed-methods, which involved a combination of both the strengths of qualitative and quantitative methods [S2], [S5], [S9], and [S13].

In terms of the source(s) of data, the reviewed studies obtained their data from various sources, such as interviews, questionnaires, and pre-and post-tests. Six studies relied on interviews as their primary source of data collection [S1], [S4], [S6], [S10], [S11], and [S12], four studies relied on questionnaires [S2], [S7], [S13], and [S14], two studies combined the use of pre-and post-tests and questionnaires for data collection [S3] and [S9], while two studies combined the use of questionnaires and interviews to obtain the data [S5] and [S8]. It is important to note that six of the reviewed studies were quasi-experimental [S3], [S5], [S8], [S9], [S12], and [S14], while the remaining ones were experimental studies [S1], [S2], [S4], [S6], [S7], [S10], [S11], and [S13]. Figures  6 and 7 illustrate the research methodologies and the source (s) of data used in the reviewed studies, respectively.

Research methodologies in the reviewed studies

Source of data in the reviewed studies

3.1.7 The aim and objectives of the studies

The reviewed studies encompassed a diverse set of aims, with several of them incorporating multiple primary objectives. Six studies [S3], [S6], [S7], [S8], [S11], and [S12] examined the integration of ChatGPT in educational contexts, and four studies [S4], [S5], [S13], and [S14] investigated the various implications of its use in education, while three studies [S2], [S9], and [S10] aimed to explore both its integration and implications in education. Additionally, seven studies explicitly explored attitudes and perceptions of students [S2] and [S3], educators [S1] and [S6], or both [S10], [S12], and [S13] regarding the utilization of ChatGPT in educational settings.

3.2 Part 2: research questions and main findings of the reviewed studies

This part will present the answers to the research questions and the main findings of the reviewed studies, classified into two main categories (learning and teaching) according to AI Education classification by [ 36 ]. Figure  8 summarizes the main findings of the reviewed studies in a visually informative diagram. Table 4 provides a detailed list of the key information extracted from the selected studies that led to generating these themes.

The main findings in the reviewed studies

4 Students' initial attempts at utilizing ChatGPT in learning and main findings from students' perspective

4.1 virtual intelligent assistant.

Nine studies demonstrated that ChatGPT has been utilized by students as an intelligent assistant to enhance and support their learning. Students employed it for various purposes, such as answering on-demand questions [S2]-[S5], [S8], [S10], and [S12], providing valuable information and learning resources [S2]-[S5], [S6], and [S8], as well as receiving immediate feedback [S2], [S4], [S9], [S10], and [S12]. In this regard, students generally were confident in the accuracy of ChatGPT's responses, considering them relevant, reliable, and detailed [S3], [S4], [S5], and [S8]. However, some students indicated the need for improvement, as they found that answers are not always accurate [S2], and that misleading information may have been provided or that it may not always align with their expectations [S6] and [S10]. It was also observed by the students that the accuracy of ChatGPT is dependent on several factors, including the quality and specificity of the user's input, the complexity of the question or topic, and the scope and relevance of its training data [S12]. Many students felt that ChatGPT's answers were not always accurate and most of them believed that it requires good background knowledge to work with.

4.2 Writing and language proficiency assistant

Six of the reviewed studies highlighted that ChatGPT has been utilized by students as a valuable assistant tool to improve their academic writing skills and language proficiency. Among these studies, three mainly focused on English education, demonstrating that students showed sufficient mastery in using ChatGPT for generating ideas, summarizing, paraphrasing texts, and completing writing essays [S8], [S11], and [S14]. Furthermore, ChatGPT helped them in writing by making students active investigators rather than passive knowledge recipients and facilitated the development of their writing skills [S11] and [S14]. Similarly, ChatGPT allowed students to generate unique ideas and perspectives, leading to deeper analysis and reflection on their journalism writing [S9]. In terms of language proficiency, ChatGPT allowed participants to translate content into their home languages, making it more accessible and relevant to their context [S4]. It also enabled them to request changes in linguistic tones or flavors [S8]. Moreover, participants used it to check grammar or as a dictionary [S11].

4.3 Valuable resource for learning approaches

Five studies demonstrated that students used ChatGPT as a valuable complementary resource for self-directed learning. It provided learning resources and guidance on diverse educational topics and created a supportive home learning environment [S2] and [S4]. Moreover, it offered step-by-step guidance to grasp concepts at their own pace and enhance their understanding [S5], streamlined task and project completion carried out independently [S7], provided comprehensive and easy-to-understand explanations on various subjects [S10], and assisted in studying geometry operations, thereby empowering them to explore geometry operations at their own pace [S12]. Three studies showed that students used ChatGPT as a valuable learning resource for personalized learning. It delivered age-appropriate conversations and tailored teaching based on a child's interests [S4], acted as a personalized learning assistant, adapted to their needs and pace, which assisted them in understanding mathematical concepts [S12], and enabled personalized learning experiences in social sciences by adapting to students' needs and learning styles [S13]. On the other hand, it is important to note that, according to one study [S5], students suggested that using ChatGPT may negatively affect collaborative learning competencies between students.

4.4 Enhancing students' competencies

Six of the reviewed studies have shown that ChatGPT is a valuable tool for improving a wide range of skills among students. Two studies have provided evidence that ChatGPT led to improvements in students' critical thinking, reasoning skills, and hazard recognition competencies through engaging them in interactive conversations or activities and providing responses related to their disciplines in journalism [S5] and construction education [S9]. Furthermore, two studies focused on mathematical education have shown the positive impact of ChatGPT on students' problem-solving abilities in unraveling problem-solving questions [S12] and enhancing the students' understanding of the problem-solving process [S5]. Lastly, one study indicated that ChatGPT effectively contributed to the enhancement of conversational social skills [S4].

4.5 Supporting students' academic success

Seven of the reviewed studies highlighted that students found ChatGPT to be beneficial for learning as it enhanced learning efficiency and improved the learning experience. It has been observed to improve students' efficiency in computer engineering studies by providing well-structured responses and good explanations [S2]. Additionally, students found it extremely useful for hazard reporting [S3], and it also enhanced their efficiency in solving mathematics problems and capabilities [S5] and [S12]. Furthermore, by finding information, generating ideas, translating texts, and providing alternative questions, ChatGPT aided students in deepening their understanding of various subjects [S6]. It contributed to an increase in students' overall productivity [S7] and improved efficiency in composing written tasks [S8]. Regarding learning experiences, ChatGPT was instrumental in assisting students in identifying hazards that they might have otherwise overlooked [S3]. It also improved students' learning experiences in solving mathematics problems and developing abilities [S5] and [S12]. Moreover, it increased students' successful completion of important tasks in their studies [S7], particularly those involving average difficulty writing tasks [S8]. Additionally, ChatGPT increased the chances of educational success by providing students with baseline knowledge on various topics [S10].

5 Teachers' initial attempts at utilizing ChatGPT in teaching and main findings from teachers' perspective

5.1 valuable resource for teaching.

The reviewed studies showed that teachers have employed ChatGPT to recommend, modify, and generate diverse, creative, organized, and engaging educational contents, teaching materials, and testing resources more rapidly [S4], [S6], [S10] and [S11]. Additionally, teachers experienced increased productivity as ChatGPT facilitated quick and accurate responses to questions, fact-checking, and information searches [S1]. It also proved valuable in constructing new knowledge [S6] and providing timely answers to students' questions in classrooms [S11]. Moreover, ChatGPT enhanced teachers' efficiency by generating new ideas for activities and preplanning activities for their students [S4] and [S6], including interactive language game partners [S11].

5.2 Improving productivity and efficiency

The reviewed studies showed that participants' productivity and work efficiency have been significantly enhanced by using ChatGPT as it enabled them to allocate more time to other tasks and reduce their overall workloads [S6], [S10], [S11], [S13], and [S14]. However, three studies [S1], [S4], and [S11], indicated a negative perception and attitude among teachers toward using ChatGPT. This negativity stemmed from a lack of necessary skills to use it effectively [S1], a limited familiarity with it [S4], and occasional inaccuracies in the content provided by it [S10].

5.3 Catalyzing new teaching methodologies

Five of the reviewed studies highlighted that educators found the necessity of redefining their teaching profession with the assistance of ChatGPT [S11], developing new effective learning strategies [S4], and adapting teaching strategies and methodologies to ensure the development of essential skills for future engineers [S5]. They also emphasized the importance of adopting new educational philosophies and approaches that can evolve with the introduction of ChatGPT into the classroom [S12]. Furthermore, updating curricula to focus on improving human-specific features, such as emotional intelligence, creativity, and philosophical perspectives [S13], was found to be essential.

5.4 Effective utilization of CHATGPT in teaching

According to the reviewed studies, effective utilization of ChatGPT in education requires providing teachers with well-structured training, support, and adequate background on how to use ChatGPT responsibly [S1], [S3], [S11], and [S12]. Establishing clear rules and regulations regarding its usage is essential to ensure it positively impacts the teaching and learning processes, including students' skills [S1], [S4], [S5], [S8], [S9], and [S11]-[S14]. Moreover, conducting further research and engaging in discussions with policymakers and stakeholders is indeed crucial for the successful integration of ChatGPT in education and to maximize the benefits for both educators and students [S1], [S6]-[S10], and [S12]-[S14].

6 Discussion

The purpose of this review is to conduct a systematic review of empirical studies that have explored the utilization of ChatGPT, one of today’s most advanced LLM-based chatbots, in education. The findings of the reviewed studies showed several ways of ChatGPT utilization in different learning and teaching practices as well as it provided insights and considerations that can facilitate its effective and responsible use in future educational contexts. The results of the reviewed studies came from diverse fields of education, which helped us avoid a biased review that is limited to a specific field. Similarly, the reviewed studies have been conducted across different geographic regions. This kind of variety in geographic representation enriched the findings of this review.

In response to RQ1 , "What are students' and teachers' initial attempts at utilizing ChatGPT in education?", the findings from this review provide comprehensive insights. Chatbots, including ChatGPT, play a crucial role in supporting student learning, enhancing their learning experiences, and facilitating diverse learning approaches [ 42 , 43 ]. This review found that this tool, ChatGPT, has been instrumental in enhancing students' learning experiences by serving as a virtual intelligent assistant, providing immediate feedback, on-demand answers, and engaging in educational conversations. Additionally, students have benefited from ChatGPT’s ability to generate ideas, compose essays, and perform tasks like summarizing, translating, paraphrasing texts, or checking grammar, thereby enhancing their writing and language competencies. Furthermore, students have turned to ChatGPT for assistance in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks, which fosters a supportive home learning environment, allowing them to take responsibility for their own learning and cultivate the skills and approaches essential for supportive home learning environment [ 26 , 27 , 28 ]. This finding aligns with the study of Saqr et al. [ 68 , 69 ] who highlighted that, when students actively engage in their own learning process, it yields additional advantages, such as heightened motivation, enhanced achievement, and the cultivation of enthusiasm, turning them into advocates for their own learning.

Moreover, students have utilized ChatGPT for tailored teaching and step-by-step guidance on diverse educational topics, streamlining task and project completion, and generating and recommending educational content. This personalization enhances the learning environment, leading to increased academic success. This finding aligns with other recent studies [ 26 , 27 , 28 , 60 , 66 ] which revealed that ChatGPT has the potential to offer personalized learning experiences and support an effective learning process by providing students with customized feedback and explanations tailored to their needs and abilities. Ultimately, fostering students' performance, engagement, and motivation, leading to increase students' academic success [ 14 , 44 , 58 ]. This ultimate outcome is in line with the findings of Saqr et al. [ 68 , 69 ], which emphasized that learning strategies are important catalysts of students' learning, as students who utilize effective learning strategies are more likely to have better academic achievement.

Teachers, too, have capitalized on ChatGPT's capabilities to enhance productivity and efficiency, using it for creating lesson plans, generating quizzes, providing additional resources, generating and preplanning new ideas for activities, and aiding in answering students’ questions. This adoption of technology introduces new opportunities to support teaching and learning practices, enhancing teacher productivity. This finding aligns with those of Day [ 17 ], De Castro [ 18 ], and Su and Yang [ 74 ] as well as with those of Valtonen et al. [ 82 ], who revealed that emerging technological advancements have opened up novel opportunities and means to support teaching and learning practices, and enhance teachers’ productivity.

In response to RQ2 , "What are the main findings derived from empirical studies that have incorporated ChatGPT into learning and teaching?", the findings from this review provide profound insights and raise significant concerns. Starting with the insights, chatbots, including ChatGPT, have demonstrated the potential to reshape and revolutionize education, creating new, novel opportunities for enhancing the learning process and outcomes [ 83 ], facilitating different learning approaches, and offering a range of pedagogical benefits [ 19 , 43 , 72 ]. In this context, this review found that ChatGPT could open avenues for educators to adopt or develop new effective learning and teaching strategies that can evolve with the introduction of ChatGPT into the classroom. Nonetheless, there is an evident lack of research understanding regarding the potential impact of generative machine learning models within diverse educational settings [ 83 ]. This necessitates teachers to attain a high level of proficiency in incorporating chatbots, such as ChatGPT, into their classrooms to create inventive, well-structured, and captivating learning strategies. In the same vein, the review also found that teachers without the requisite skills to utilize ChatGPT realized that it did not contribute positively to their work and could potentially have adverse effects [ 37 ]. This concern could lead to inequity of access to the benefits of chatbots, including ChatGPT, as individuals who lack the necessary expertise may not be able to harness their full potential, resulting in disparities in educational outcomes and opportunities. Therefore, immediate action is needed to address these potential issues. A potential solution is offering training, support, and competency development for teachers to ensure that all of them can leverage chatbots, including ChatGPT, effectively and equitably in their educational practices [ 5 , 28 , 80 ], which could enhance accessibility and inclusivity, and potentially result in innovative outcomes [ 82 , 83 ].

Additionally, chatbots, including ChatGPT, have the potential to significantly impact students' thinking abilities, including retention, reasoning, analysis skills [ 19 , 45 ], and foster innovation and creativity capabilities [ 83 ]. This review found that ChatGPT could contribute to improving a wide range of skills among students. However, it found that frequent use of ChatGPT may result in a decrease in innovative capacities, collaborative skills and cognitive capacities, and students' motivation to attend classes, as well as could lead to reduced higher-order thinking skills among students [ 22 , 29 ]. Therefore, immediate action is needed to carefully examine the long-term impact of chatbots such as ChatGPT, on learning outcomes as well as to explore its incorporation into educational settings as a supportive tool without compromising students' cognitive development and critical thinking abilities. In the same vein, the review also found that it is challenging to draw a consistent conclusion regarding the potential of ChatGPT to aid self-directed learning approach. This finding aligns with the recent study of Baskara [ 8 ]. Therefore, further research is needed to explore the potential of ChatGPT for self-directed learning. One potential solution involves utilizing learning analytics as a novel approach to examine various aspects of students' learning and support them in their individual endeavors [ 32 ]. This approach can bridge this gap by facilitating an in-depth analysis of how learners engage with ChatGPT, identifying trends in self-directed learning behavior, and assessing its influence on their outcomes.

Turning to the significant concerns, on the other hand, a fundamental challenge with LLM-based chatbots, including ChatGPT, is the accuracy and quality of the provided information and responses, as they provide false information as truth—a phenomenon often referred to as "hallucination" [ 3 , 49 ]. In this context, this review found that the provided information was not entirely satisfactory. Consequently, the utilization of chatbots presents potential concerns, such as generating and providing inaccurate or misleading information, especially for students who utilize it to support their learning. This finding aligns with other findings [ 6 , 30 , 35 , 40 ] which revealed that incorporating chatbots such as ChatGPT, into education presents challenges related to its accuracy and reliability due to its training on a large corpus of data, which may contain inaccuracies and the way users formulate or ask ChatGPT. Therefore, immediate action is needed to address these potential issues. One possible solution is to equip students with the necessary skills and competencies, which include a background understanding of how to use it effectively and the ability to assess and evaluate the information it generates, as the accuracy and the quality of the provided information depend on the input, its complexity, the topic, and the relevance of its training data [ 28 , 49 , 86 ]. However, it's also essential to examine how learners can be educated about how these models operate, the data used in their training, and how to recognize their limitations, challenges, and issues [ 79 ].

Furthermore, chatbots present a substantial challenge concerning maintaining academic integrity [ 20 , 56 ] and copyright violations [ 83 ], which are significant concerns in education. The review found that the potential misuse of ChatGPT might foster cheating, facilitate plagiarism, and threaten academic integrity. This issue is also affirmed by the research conducted by Basic et al. [ 7 ], who presented evidence that students who utilized ChatGPT in their writing assignments had more plagiarism cases than those who did not. These findings align with the conclusions drawn by Cotton et al. [ 13 ], Hisan and Amri [ 33 ] and Sullivan et al. [ 75 ], who revealed that the integration of chatbots such as ChatGPT into education poses a significant challenge to the preservation of academic integrity. Moreover, chatbots, including ChatGPT, have increased the difficulty in identifying plagiarism [ 47 , 67 , 76 ]. The findings from previous studies [ 1 , 84 ] indicate that AI-generated text often went undetected by plagiarism software, such as Turnitin. However, Turnitin and other similar plagiarism detection tools, such as ZeroGPT, GPTZero, and Copyleaks, have since evolved, incorporating enhanced techniques to detect AI-generated text, despite the possibility of false positives, as noted in different studies that have found these tools still not yet fully ready to accurately and reliably identify AI-generated text [ 10 , 51 ], and new novel detection methods may need to be created and implemented for AI-generated text detection [ 4 ]. This potential issue could lead to another concern, which is the difficulty of accurately evaluating student performance when they utilize chatbots such as ChatGPT assistance in their assignments. Consequently, the most LLM-driven chatbots present a substantial challenge to traditional assessments [ 64 ]. The findings from previous studies indicate the importance of rethinking, improving, and redesigning innovative assessment methods in the era of chatbots [ 14 , 20 , 64 , 75 ]. These methods should prioritize the process of evaluating students' ability to apply knowledge to complex cases and demonstrate comprehension, rather than solely focusing on the final product for assessment. Therefore, immediate action is needed to address these potential issues. One possible solution would be the development of clear guidelines, regulatory policies, and pedagogical guidance. These measures would help regulate the proper and ethical utilization of chatbots, such as ChatGPT, and must be established before their introduction to students [ 35 , 38 , 39 , 41 , 89 ].

In summary, our review has delved into the utilization of ChatGPT, a prominent example of chatbots, in education, addressing the question of how ChatGPT has been utilized in education. However, there remain significant gaps, which necessitate further research to shed light on this area.

7 Conclusions

This systematic review has shed light on the varied initial attempts at incorporating ChatGPT into education by both learners and educators, while also offering insights and considerations that can facilitate its effective and responsible use in future educational contexts. From the analysis of 14 selected studies, the review revealed the dual-edged impact of ChatGPT in educational settings. On the positive side, ChatGPT significantly aided the learning process in various ways. Learners have used it as a virtual intelligent assistant, benefiting from its ability to provide immediate feedback, on-demand answers, and easy access to educational resources. Additionally, it was clear that learners have used it to enhance their writing and language skills, engaging in practices such as generating ideas, composing essays, and performing tasks like summarizing, translating, paraphrasing texts, or checking grammar. Importantly, other learners have utilized it in supporting and facilitating their directed and personalized learning on a broad range of educational topics, assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks. Educators, on the other hand, found ChatGPT beneficial for enhancing productivity and efficiency. They used it for creating lesson plans, generating quizzes, providing additional resources, and answers learners' questions, which saved time and allowed for more dynamic and engaging teaching strategies and methodologies.

However, the review also pointed out negative impacts. The results revealed that overuse of ChatGPT could decrease innovative capacities and collaborative learning among learners. Specifically, relying too much on ChatGPT for quick answers can inhibit learners' critical thinking and problem-solving skills. Learners might not engage deeply with the material or consider multiple solutions to a problem. This tendency was particularly evident in group projects, where learners preferred consulting ChatGPT individually for solutions over brainstorming and collaborating with peers, which negatively affected their teamwork abilities. On a broader level, integrating ChatGPT into education has also raised several concerns, including the potential for providing inaccurate or misleading information, issues of inequity in access, challenges related to academic integrity, and the possibility of misusing the technology.

Accordingly, this review emphasizes the urgency of developing clear rules, policies, and regulations to ensure ChatGPT's effective and responsible use in educational settings, alongside other chatbots, by both learners and educators. This requires providing well-structured training to educate them on responsible usage and understanding its limitations, along with offering sufficient background information. Moreover, it highlights the importance of rethinking, improving, and redesigning innovative teaching and assessment methods in the era of ChatGPT. Furthermore, conducting further research and engaging in discussions with policymakers and stakeholders are essential steps to maximize the benefits for both educators and learners and ensure academic integrity.

It is important to acknowledge that this review has certain limitations. Firstly, the limited inclusion of reviewed studies can be attributed to several reasons, including the novelty of the technology, as new technologies often face initial skepticism and cautious adoption; the lack of clear guidelines or best practices for leveraging this technology for educational purposes; and institutional or governmental policies affecting the utilization of this technology in educational contexts. These factors, in turn, have affected the number of studies available for review. Secondly, the utilization of the original version of ChatGPT, based on GPT-3 or GPT-3.5, implies that new studies utilizing the updated version, GPT-4 may lead to different findings. Therefore, conducting follow-up systematic reviews is essential once more empirical studies on ChatGPT are published. Additionally, long-term studies are necessary to thoroughly examine and assess the impact of ChatGPT on various educational practices.

Despite these limitations, this systematic review has highlighted the transformative potential of ChatGPT in education, revealing its diverse utilization by learners and educators alike and summarized the benefits of incorporating it into education, as well as the forefront critical concerns and challenges that must be addressed to facilitate its effective and responsible use in future educational contexts. This review could serve as an insightful resource for practitioners who seek to integrate ChatGPT into education and stimulate further research in the field.

Data availability

The data supporting our findings are available upon request.

Abbreviations

• Artificial intelligence

AI in education

Large language model

Artificial neural networks

Chat Generative Pre-Trained Transformer

Recurrent neural networks

Long short-term memory

Reinforcement learning from human feedback

Natural language processing

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

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The paper is co-funded by the Academy of Finland (Suomen Akatemia) Research Council for Natural Sciences and Engineering for the project Towards precision education: Idiographic learning analytics (TOPEILA), Decision Number 350560.

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Yazid Albadarin, Mohammed Saqr, Nicolas Pope & Markku Tukiainen

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YA contributed to the literature search, data analysis, discussion, and conclusion. Additionally, YA contributed to the manuscript’s writing, editing, and finalization. MS contributed to the study’s design, conceptualization, acquisition of funding, project administration, allocation of resources, supervision, validation, literature search, and analysis of results. Furthermore, MS contributed to the manuscript's writing, revising, and approving it in its finalized state. NP contributed to the results, and discussions, and provided supervision. NP also contributed to the writing process, revisions, and the final approval of the manuscript in its finalized state. MT contributed to the study's conceptualization, resource management, supervision, writing, revising the manuscript, and approving it.

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See Table  4

The process of synthesizing the data presented in Table  4 involved identifying the relevant studies through a search process of databases (ERIC, Scopus, Web of Knowledge, Dimensions.ai, and lens.org) using specific keywords "ChatGPT" and "education". Following this, inclusion/exclusion criteria were applied, and data extraction was performed using Creswell's [ 15 ] coding techniques to capture key information and identify common themes across the included studies.

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Albadarin, Y., Saqr, M., Pope, N. et al. A systematic literature review of empirical research on ChatGPT in education. Discov Educ 3 , 60 (2024). https://doi.org/10.1007/s44217-024-00138-2

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Received : 22 October 2023

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Published : 26 May 2024

DOI : https://doi.org/10.1007/s44217-024-00138-2

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