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Introduces the goals of the session and explains why review papers matter in academic research. It also covers the assignment requirements, grading weight, and submission expectations.
Welcome to our session on advanced research communication with a special focus on how to write a review paper.Review papers are an essential part of academic research.They help synthesize existing knowledge, identify trends, and highlight gaps in the literature.This skill is highly valuable whether you're aiming to contribute new insights to your field or simply striving to become a more effective researcher.Throughout this session, we'll explore the structure and purpose of a review paper, discuss strategies for organizing complex information, and cover best practices for critical analysis.By the end, you'll have a clear understanding of how to approach and write a compelling review paper and why strong research communication is a vital asset in any scholarly or professional career.For your first assessment, you'll be writing a review paper.This task represents a significant portion of your final grade, 20% for both MSSE and PhD students, so it's essential to approach it thoughtfully.
The review paper must be completed individually.Collaboration is not allowed for this assignment.When you're ready to submit, make sure you include both the PDF version of your review paper and the Overleaf source files.These should be compressed together into a single zip file before uploading.This process ensures that we can easily review your work and check the formatting or any technical aspects if needed.Focus on presenting your research clearly and following the guidelines for academic writing as both content and presentation will be evaluated.When you're writing a review paper, there are several important elements to keep in mind to ensure it's valuable to your readers.First, you need to provide a structured overview of the research landscape.This means orienting your audience by summarizing what's already known and mapping out the key areas in the field.Next, look for patterns and clusters in the literature.
Don't just list studies, but try to identify major trends and recurring themes that emerge across different works.A critical part of a strong review is highlighting limitations and gaps.Rather than presenting previous research as complete, point out what's missing, uncertain, or problematic in the existing body of work.After that, engage in critical discussion.Evaluate the methods and findings, weighing their strengths and weaknesses, and comparing how different studies have approached similar problems.Finally, a strong review paper concludes by suggesting future directions.Based on the gaps and limitations you identified, what should researchers focus on next?Remember, a review paper isn't just a series of summaries.It's a synthesis that brings together knowledge to draw new insights, clarify important issues, and guide future research.When you're preparing to write your own review paper, it's really helpful to look at published examples to understand what's expected.Science Direct is an excellent platform for exploring a wide variety of review articles.
As you read, pay attention to several key elements.First, notice the structure, how the literature is organized, and how the review moves from one topic or section to another.Second, look for recurring themes, how studies are grouped into meaningful clusters or categories.Third, evaluate the evidence, specifically how authors use tables and figures to compare different studies and present conceptual frameworks.And finally, focus on the contribution.See how authors identify gaps in current research and suggest directions for future work.When you read review papers, keep in mind important aspects such as organization, synthesis of ideas, critical evaluation of sources, and discussion of research gaps.This approach will help you develop a deeper understanding of what a high-quality review looks like.When conducting a literature review, it's crucial to have a systematic approach to ensure your search is thorough and credible.We begin with defining relevance.This means setting clear boundaries for what should and shouldn't be included before you start tallying up papers, which keeps you focused and reduces bias.
Next, it's important to learn the vocabulary of your field.By starting broad, you can catch the various terms researchers may use for your topic.After familiarizing yourself with key terminology, you'll build your query.Here, strategically use your concepts in database search fields according to how central they are to your research question.As you gather results, refine and filter your search using tools like Boolean operators, date and article type restrictions and specific subject areas to narrow down your list.A vital step is inspecting review articles to understand what's already been explored.This helps you recognize key categories, methodologies, and references.With all this information, check your topic's viability by comparing how much and how recently it has been covered in other reviews.Finally, document every step.Save your search terms, filters, and decision points.This adds transparency, making your review repeatable and trustworthy.Following this workflow ensures a structured, effective literature search and sets a solid foundation for your research.
Explains how to build a systematic literature search, define inclusion criteria, and use databases, filters, and Boolean logic effectively. It also discusses evaluating topic viability, documenting the search process, and protecting the originality of the review.
When you begin a review paper search, it's important to clearly define your inclusion criteria, essentially the rules for what studies you'll consider.Start by specifying the population or context, meaning who or what your review is about and under which conditions.If location matters for your topic, set clear geographic boundaries, but only if it's relevant to your research question.You should also determine the time window or the span of years from which you'll include papers to ensure you're addressing the most appropriate evidence.Be mindful of the types of publications you'll include, such as only journal articles or conference papers, and clarify the technical topics or applications that make a paper relevant to your review.As you evaluate your search results, about 100 to 150 relevant studies is a useful benchmark, but you might need to narrow down or broaden the set depending on your findings.It's also helpful to see if recent publication trends show ongoing interest in the field.
Even though this alone doesn't prove the topic is valuable, keep an eye on any existing reviews that overlap with your area, reading them closely to understand and differentiate your own contribution.Most importantly, remember these guidelines are meant to help you get started.They aren't strict rules enforced by every journal.When searching in Science Direct, selecting the right search fields makes a big difference in the number and relevance of your results.If you search within the title field, your search will be very specific.Only articles that have your keywords in their titles will appear.This is helpful when you want results that are directly focused on your concept.On the other hand, searching within title, abstract or keywords is much broader and can capture more articles even if the main concept is mentioned only in the abstract or keywords, not the title.For example, if your research is about using artificial intelligence methods with livestock, you might enter livestock or cows as your domain in the title field for a focus search.
For your methodology, you could enter AI or machine learning or deep learning in the broader field to capture various related approaches.If your search still brings back too many articles, you can combine another concept like tracking or health with the and operator to narrow it down further.The key takeaway is to think strategically about where and how you enter keywords.This controls how restrictive or comprehensive your search results will be.When searching for academic papers, how you structure your query can make a huge difference in both the number and the relevance of results you find.Boolean logic helps refine your search using terms like or and parenthesis.OR is used to group synonyms, making sure you capture different names for the same concept.So AI or machine learning or deep learning and connects distinct concepts narrowing your results to those that address all required topics like combining AI with health.
Quotation marks tell the database to look for an exact phrase such as safety culture.Parenthesis help organize these groups so the database knows how to combine them logically.Notice the example.A query without enough structure returns over a thousand results.Far too many and many may be irrelevant.By grouping synonyms and connecting concepts with and, the search is refined down to just 69 focused results.Remember, your goal is not just quantity, but relevance.It's better to have a smaller, more accurate set of papers than a large, unfocused list.Finally, always iterate, review what you get, and adjust research until you strike the right balance.When searching for review papers, it's important to use filters effectively to get the most relevant and highquality results.Start by scanning the titles on the first page.This gives you a quick sense of whether your search query is on track.
If the results are mostly unrelated, reconsider your keywords before layering on more filters.Focusing on recent work can be critical for many reviews.So, use the publication year filter to restrict results to the most current research.You should also pay close attention to the subject area and the publication venue.This helps ensure that both the topics and the journals match your specific research question and field.Another crucial step is separating research articles from review articles because review articles synthesize the literature while research articles present new findings.This distinction helps you accurately assess the evidence landscape.Finally, to guarantee reproducibility, always note down your exact search terms and every filter you applied.These practices not only streamline your workflow, but also strengthen the quality and transparency of your academic review.Treat a relevant review article as a map of the research area.Begin by comparing its scope with your proposed scope.
If it already answers the same review question, your paper needs a clear new contribution.That contribution might be an updated time period, a different application, a geographic focus, or a new methodological perspective.Next, inspect the review protocol.Record the databases, search terms, date range, and inclusion criteria.Then, study how the authors organize the field.Their categories can reveal useful terminology, common research clusters, and areas they did not cover.You can also follow references from the review, but do so selectively.Use your own inclusion criteria, open the primary studies, and verify their methods and findings before treating them as evidence.Finally, check when the review is published.A strong older review may provide an excellent foundation while leaving a time gap that a new review can update.This approach saves time without allowing someone else's bibliography to determine your evidence base.To judge whether a review topic is viable, examine the evidence base, its coherence, and the reviews that already cover the area.
You need enough relevant primary studies to support synthesis, but no universal number applies to every topic.The range shown here is a teaching heristic.Use it as a signal.Tighten an unmanageably large set and broaden a very small set carefully.The paper should also address a connected question.A rising publication trend suggests that the field is active, but it does not prove that the topic is valuable or original.Read the existing reviews and compare their scope with yours.A time gap, application gap, geographic gap, or methodological gap can support a new contribution.The contribution should fit into one or two precise sentences.Begin with a working thesis.Then revise the population, time window, setting, or application as the search develops.A viable topic combines an adequate evidence base with a clear review question and a defensible gap.The displayed counts help you think about scope.
They are not publication rules or guarantees of novelty.Apply the same search logic in it e explore that you used in the first database.Keep synonyms together with or and connect distinct concepts with and.Place each main concept in a separate advanced search row so the relationship between the ideas remains clear.Choose the metadata field deliberately.A central domain term may belong in the document title while supporting method or application terms can use a broader metadata field.Set the publication years according to the review protocol rather than choosing dates after seeing the results for the core evidence base.Prioritize peer-reviewed journal articles.Include conference papers selectively when the venue is established and the paper is influential or essential to the topic.IE explore is particularly useful for engineering, computer science, artificial intelligence, and security research.Searching more than one suitable database reduces the risk that the review reflects the coverage of a single source rather than the literature itself.
When conducting a review paper search, it's essential to create a thorough record of your search process and ensure your work truly adds something new to the field.First, you want to document your main research question and thesis.That's the foundation for all your searching and screening.Be diligent about your search protocol.Note down what criteria you're using to include or exclude studies and keep a log of every database you search.You should save the exact search strings and filters like date ranges or publication years that you apply and record how many results you get before and after screening so you can justify your selections and exclusions.On the other hand, protecting your contribution is about making sure your work truly fills a gap.Always check what reviews already exist and be clear about what gaps remain before you submit your paper.Do a final search to ensure no new relevant work has come out.
Your novelty claim must be up to date.In some cases, sharing a pre-print or conference version can be strategic, but only do this if it's appropriate for your area.Most importantly, verify every source you plan to site, reading primary papers directly, and keep a record of the last time you checked for new literature.By following these steps, you maintain transparency and rigor while ensuring your review stands out as a unique contribution.
Walks through the topic selection app and the Overleaf template workflow for preparing the paper. It then covers front matter elements such as title, authors, abstract, and keywords.
Let me walk you through how to use the topic selection app for your review paper.The process is very straightforward and ensures that each student gets a unique research topic.First, you'll start by entering your student ID and name.This helps the system identify you and keep track of your chosen topic.Next, you'll see a list of available research topics.Simply pick one that interests you from the list.Once you've selected a topic, it's assigned to you automatically and at the same time it's removed from the list for other students, so there's no overlap.If you later decide you'd like to change your topic, you just repeat the same steps.Enter your information and choose a new topic.The new selection will replace your previous one in the system.Finally, once your topic is set, you're ready to start your project.The key takeaway is that this app helps manage topics efficiently, prevents duplication, and gives you flexibility to update your choice before you start working.
When preparing your review paper, using a consistent and professional format is essential, not only for clarity, but also for meeting journal or course requirements.This Overleaf template is designed to make the process straightforward, serving both as a formatting guide and a hands-on learning resource.You'll start by downloading the template as a zip file from Overleaf which contains all the necessary files in a readonly project.Next, upload this package into your own Overleaf account so that you can edit it as your own project.The primary document you'll work with is main text which is already set up as the main file for the project.From there, simply begin replacing the explanatory text and example content with your own research and findings.Remember to use PDF latex to compile your work and ensure all your figures are kept within the project folder for smooth compiling.If at any point you need a demonstration, there's a helpful video link at the bottom of the slide to walk you through the process step by step.
This template streamlines both the structure and the learning process for writing a high-quality review paper.When writing a review paper, it's important to follow a structured, transparent process.This is what's meant by the philosophy of the template.The workflow begins with a strong introduction where you clarify the relevance of your topic and the need for your review.Next comes the background and literature survey which lays out the groundwork, traces how the field developed, and highlights key debates and turning points.Transparency is crucial in the methodology section.Here you should clearly explain how you searched for, screened, and selected studies so that others can understand and potentially replicate your process.Instead of randomly listing papers, organize them using thematic clustering.Group studies by key themes or ideas to highlight patterns and relationships in the literature.Once you move from synthesis to making your own contribution, focus on meaningful discussion and analysis.
Connect different themes, critically evaluate the evidence, and address any contradictions you find.Use tables and figures to visually compare studies.Reveal patterns and communicate your findings clearly.Your conclusion should summarize what value your review adds, reveal any gaps that remain, and suggest opportunities for future research.Finally, take advantage of worked examples provided in the template.They're there to illustrate the expected depth and quality.Use these as guidance, then replace them with your own well-developed content.The overarching goal is to produce a review that is clear, systematic, and genuinely advances understanding in your field.When you're preparing the front matter for a review paper using the Elsair template, it's important to get several key details right.First, your title should be clear and focused reflecting the specific topic of your review.If needed, use a subtitle to give more context.Each author must be listed with a key that links to their affiliation.
And those affiliations need to include the organization, city, and country.Make sure the order of authors reflects your agreed arrangement and try to match Orchid or other identification systems if relevant.For institutions, use a unique key for each distinct organization or campus to avoid confusion.On the right, you'll see a checklist to double check your work.Your title should specify the topic and mention a review if suitable.Each author has to be matched to an affiliation key, and every affiliation should list the full organization details including city and country.Finally, be consistent with how you use names and keys throughout your document.This reduces errors and helps editors and readers track who is responsible for what.Carefully completing these steps ensures your paper's front matter is clear, professional, and ready for submission.When writing a review abstract, your goal is to provide a concise, self-contained summary that captures the essence of your review paper in about 150 to 250 words.
Unlike research abstracts, you shouldn't include citations or figures here.Instead, focus on four key elements.First, motivation.Signal why a synthesis of the literature is needed at this time.What gap or urgent issue brings these studies together.Next, scope.Clarify the boundaries of your review, specifying the time frame, types of studies, domains, or databases you covered.This helps readers understand what your review includes and excludes.The heart of your abstract is the synthesis.Rather than listing individual studies, highlight major themes, trends, or insights that emerge from the literature as a whole.Finally, outline your contribution.State how your review organizes the field, identifies gaps, or points the way forward.The example on the right, focusing on large language models in education, puts these principles into practice.It briefly sets the motivation, rapid integration of LLMs, then defines the scope by years and educational domains.It synthesizes three main themes from the literature and in conclusion notes both the potential and challenges highlighting the importance of policy and ethical considerations.
This structure ensures that your abstract stands alone and draws the reader in, making them want to learn more from your full paper.When preparing keywords for your research paper, you want to think strategically about how your work will be found and categorized.Aim to select five to seven keywords that are both precise and widely recognized within your field.Choose terms that accurately reflect your study and use language readers are likely to type into search engines or databases.Relevance is key.Each keyword should be directly connected to the core themes and scope of your paper.You should also avoid general or overly broad words since these can dilute the discoverability of your paper.Additionally, it's important to format your keywords correctly when submitting, especially if you're using Lattex.In this case, you separate each keyword using the command dash SE.For example, in a review of large language models in education, suitable keywords might include large language models, education, artificial intelligence, pedigogy, and review.
By following these guidelines, you'll help ensure your paper is discoverable and accurately indexed for future readers and researchers.
Describes how to write the introduction, background, methodology, thematic clusters, discussion, tables, and figures. The emphasis is on synthesis, transparency, and critical analysis rather than simple summary.
When you're writing the introduction for a review paper, your main task is to help readers quickly understand what your topic is, why it matters, and how your paper will approach it.There are five essential elements you should include.First, provide the context.Situate your topic broadly so readers know the larger field or problem area you're discussing.Next, highlight the specific problem or knowledge gap that justifies your review.What's missing or unclear in the existing research?Then clearly state the purpose.What are the main objectives or guiding questions your review aims to address?After that, define the scope.What boundary have you set for your review and what will you include or exclude?Finally, offer a road map that briefly explains how your paper is organized.To illustrate, the example uses a review about large language models in education.It opens by situating AI's impact in education broadly, identifies existing debates about benefits and challenges, states the reviews objectives and questions, narrows the scope to recent studies across education levels, and outlines the structure of the paper.
This approach helps your readers know what to expect, establishes the significance of your work, and prepares them to follow your analysis.When preparing the background and literature survey section of a review paper, it's important to provide more than just a list of previous studies.This section should set the stage for your review by explaining the foundational concepts and how they've evolved over time.Highlighting influential works means identifying those landmark studies that have shaped the field and are often cited by others.Next, organizing the main themes and debates helps clarify what major discussions or disagreements exist in the literature.A good survey should not only recount what's been done, but compare and synthesize, looking for patterns, gaps, strengths, and weaknesses across studies.Finally, justification is critical.You need to establish why your review is needed, perhaps by indicating that previous work missed certain aspects or new developments have emerged.
The example on the right shows how this might be written in practice using the adoption of large language models in education as a case.Notice how it doesn't just list studies.It explains the historical background, points out both achievements and limitations, summarizes central themes, synthesizes the literature's findings, and then justifies the need for a new review by highlighting current gaps and challenges.This structured approach will make your review more valuable to readers.When conducting a review paper, it's absolutely essential that the methodology is transparent and reproducible.This means clearly documenting where your information comes from, how you select studies, and the reasons for including or excluding certain works.First, you must identify your sources.These might be databases, journals, or conference proceedings.Making sure your review draws from reliable and relevant materials.Next, define the time span.That is, how many years of research you're covering to ensure your review reflects current knowledge.
It's also critical to specify your search terms so that others could replicate your search exactly.Setting clear inclusion and exclusion criteria helps maintain focus and quality.For example, you might include only peer-reviewed papers in specific languages and exclude preprints, duplicates, or studies not relevant to your topic.The process of screening and grouping studies using methods like Prisma diagrams or thematic clustering helps organize your findings coherently.On the right, there's an example focused on large language models in education.The review drew on major scientific databases, set a precise time period, and used detailed search terms.Stretch criteria determined which studies made it into the final analysis, and thematic grouping clarified different research areas such as content generation and assessment.This approach ensures both broad and detailed coverage while keeping the review focused and systematic.When writing a review paper, it's important not just to summarize individual studies, but to organize them in a way that reveals patterns and insights.
One effective approach is thematic clustering.Grouping papers based on their methods, contexts, or research focus.For example, in reviewing studies about the use of large language models in education, you could create a cluster for simulation based studies, which typically emphasize methodological rigor and reproducibility, but might not reflect the messiness of real classrooms.Another cluster could focus on real world classroom implementations which offer practical insights but might suffer from small samples and limited generalizability.As you form these clusters, don't just describe what each group of papers does.Instead, evaluate their strengths and weaknesses.Discuss what each group contributes, where they fall short, and how they complement each other.Ultimately, aim to weave these clusters into a coherent narrative, showing how they collectively advance understanding rather than presenting them in isolation.This method makes your review much more valuable to readers, providing a clear, critical synthesis of the literature.
When writing the discussion and analysis section of a review paper, the focus shifts from simply summarizing sources to weaving them together in a meaningful way.This involves several key tasks.First, integration is about interpreting how different clusters of research fit together rather than just repeating what each says.Evaluation means critically examining the strengths and limitations across studies.Making connections involves identifying overlap between different research strands.When contradictions appear, it's important to explain these by considering methodological or contextual differences.The discussion should also consider the real world implications.how findings might affect practice policy or guide further research.Finally, looking forward means using identified gaps to suggest where future studies should focus.On the right, we see an example applying these goals to large language models in education.Here, the discussion synthesizes findings across three research clusters, simulation studies, classroom implementations, and policy perspectives.Each has unique contributions and limitations such as the artificial conditions of simulations, the lack of long-term data in classroom trials, and abstract policy debates.
By drawing these together, the example highlights both the promise and the need for caution, emphasizing the importance of integrating diverse perspectives to ensure future innovation is responsible and inclusive.This approach strengthens the analysis, making it insightful and impactful.When conducting a literature review, comparison tables are an essential tool for presenting a structured overview of relevant studies.The main purpose here is to summarize and contrast different works concisely, which helps the reader quickly identify key similarities and differences.To do this effectively, start by defining clear criteria for comparison, such as the focus of each study, its context, the methods used, and the main findings.Include studies that represent a variety of perspectives, methods, and settings to ensure a balanced overview.It's important to use concise and consistent phrases throughout the table for clarity.And always site your sources within the table, which maintains traceability and academic rigor.
Remember, the table itself should not be the end point of your analysis.Rather, it serves as a foundation for deeper discussion and interpretation in the rest of your review.On the right side, you see an example table summarizing recent research on large language models in education.Each row captures a different study detailing aspects like its focus, the data or context it examines, the methodologies used, and the key findings.Such tables allow you to efficiently organize a wide range of information, and then use that synthesis to drive your analysis forward in the paper.When writing a review paper, figures play a crucial role in helping your readers quickly grasp complex ideas or trends.A good rule of thumb is to include about one figure every two pages.The main purpose of figures in review articles is to synthesize and visually summarize clusters of studies, workflows, timelines, or conceptual frameworks.
Essentially helping to organize large bodies of literature into meaningful patterns.Every figure you include should be referenced and explained in the text so your readers understand exactly what it illustrates and why it matters.Always accompany your figures with detailed captions that can stand on their own, giving context and description without requiring the reader to search the main text.For creating your visuals, you can use a variety of tools like PowerPoint, latex based packages such as Tixz or PGF plots, online tools like Canva or Figma, or specialized data visualization software.The example on this slide demonstrates how a figure might be used in a review about large language models in education, either by visualizing clusters of studies or showing publication trends.The key takeaway is that clear, well-integrated figures significantly enhance the clarity and accessibility of your review.
Explains how to write a strong conclusion, format the reference list, and verify citation accuracy. It closes with practical reminders on source quality, note-taking, research gaps, and academic integrity before submission.
When writing a conclusion for your review paper, your goal is to tie everything together and point the reader toward key insights and future directions.Start by briefly restating the purpose of your work, reminding readers why this topic matters.Then highlight the most important themes and trends that emerged from your analysis.This is not just a summary.It's your chance to provide critical reflection on the current state of the field, noting strengths, but also persistent challenges.It's essential to identify gaps, areas where questions remain unanswered, or where more research is needed.Based on these gaps, you should offer clear recommendations for researchers, practitioners, or policymakers about what steps to take next.Importantly, keep your conclusion focused and avoid introducing new arguments or detailed evidence that belong elsewhere in the paper.The example on the right shows a conclusion about large language models in education.It summarizes key findings such as increased efficiency and access, but also acknowledges ongoing issues like academic misconduct and inequity.
It calls for future research and collaboration to shape ethical guidelines and ensure these technologies are implemented fairly.Ultimately, a strong conclusion reinforces your main messages, provides thoughtful reflection, and points forward to actionable steps without overwhelming readers with new details.When preparing the reference list for your review paper, it's essential to do so carefully and systematically.First, always use the designated template style, such as the numbered Elir format, to ensure consistency throughout your document.Each reference must include complete information.Think about all the necessary details like author names, article titles, publication venues, volume and page numbers, and the year of publication.Consistency is key.So, be sure that punctuation, capitalization, and the sequencing of details are uniform for every entry.Additionally, every source cited anywhere in your paper, from text to tables or figures, must be included in your reference list.Missing or extraneous references can lead to confusion or questions about your work's reliability.
Take a look at the latex example provided on the right side of the slide.This demonstrates how to format references manually specifically for articles on large language models in education.Notice how each entry includes all the required details.Before submission, double check your reference list for a few important things.First, traceability.Make sure that readers can find and verify every reference you've listed.Second, coverage.Ensure that you've included all foundational and recent works related to your themes or research gaps.Third, check for accuracy by reviewing the correct spelling of names, publication details, and page ranges.Finally, even if you use a reference manager, always do a manual check for errors and consistency.This attention to detail not only strengthens your paper but also reflects on your professionalism as a scholar.When starting a literature review, rely on highquality sources.Use suitable scholarly databases such as science direct for broad science, engineering, and health topics and it e explore for many computer science and engineering topics.
The course material presents roughly 100 to 150 relevant recent studies as a useful working range.Treat that number as a diagnostic signal rather than a fixed citation quota.Your final evidence set should contain the papers that meet the declared scope.Reading three to five relevant review papers can provide useful benchmarks and a road map, but you must still verify the primary studies yourself.To search effectively, identify the main concepts and their synonyms.Start broadly enough to learn the vocabulary.Then refine the query with field choices, boolean operators, publication years, subject areas, and document types.Scan the first page of titles after every major change.If most results are unrelated, revise the query before applying more filters.Maintain a spreadsheet with the paper identifier, biblioraphic details, research problem, methods, data, findings, limitations, useful visuals, relevance, and provisional cluster.Begin note-taking with the title, abstract, and keywords.
Read the methodology and results closely for papers that remain relevant.Summarize the problem, approach, findings, and limitations in a few bullets.Assign papers to provisional clusters early, then revise those clusters as patterns and gaps become clear.The final questions bring together research gaps, paper structure, and academic integrity.A research gap may reflect too little evidence, an underexplored topic, weak or inconsistent methods, a missing theoretical explanation, limited practical testing, conflicting findings, or an emerging area that has not yet been reviewed.Name the gap precisely and show how the literature supports it.Use the Elsair overleaf template to structure the paper.Begin with a clear title and a focused abstract.The introduction explains the importance and scope of the review.The background section establishes the concepts readers need.Organize the literature survey into meaningful clusters.Use comparison tables and figures when they improve synthesis.The discussion should connect the clusters.
Evaluate the evidence and explain contradictions.Conclude with the reviews main contribution, remaining gaps, and future directions.Apply the templates numbered reference style consistently.Maintain academic integrity throughout the process.Use AI only in ways permitted by the course guidance.Keep the writing in your own words and cite every borrowed idea or visual.Before submission, check the paper for accurate references, clear writing, and compliance with the required format.