Does the tool actually search databases for sources?

No, the AI generates optimized search terms and recommends the appropriate databases for each sub-question, but the student does the actual searching. This is intentional: the goal is to teach research skills, not to find sources for the student. The AI gives the student the tools to search effectively, which builds a skill they will use for the rest of their academic career. If the student needs help evaluating the sources they find, the AI Source Evaluator is a companion tool.

What citation styles does the thesis reviewer and outline generator support?

The thesis reviewer and note-taking organizer support MLA, APA, Chicago, and Harvard citation formats. The student selects the required format when starting the session, and all generated citation templates and examples use that format. The note-taking organizer pre-formats the source citation column in the selected style so students do not have to reformat citations later.

Can this tool help with undergraduate-level research papers?

Yes. When the student selects "undergraduate" as the grade level, the AI calibrates the research plan to undergraduate expectations: more peer-reviewed sources, more complex sub-questions, and a thesis review that holds the claim to a higher standard of specificity and argumentability. The database search terms for undergraduate research include JSTOR, PubMed, ERIC, and ProQuest, not just Google Scholar.

How does the tool help with IB Extended Essays specifically?

The IB Extended Essay has specific requirements: a focused research question, 4,000 words maximum, a reflective process journal, and evaluation by subject-specific criteria. When the student selects IB Extended Essay as the assignment type, the AI generates a research plan calibrated to IB requirements, a focused, arguable research question (not a broad topic), source recommendations appropriate to the subject, and an outline structured for the IB examiner's criteria.

AI Tools

AI Research Assistant for Students

Kenji is a 10th-grader assigned a research paper on climate migration. He has the topic and a blank Google Doc. Three hours later, he still has a blank Google Doc. He has read five Wikipedia articles and highlighted things that seemed important, but he does not know what his argument is or where to look for real sources. The AI Research Assistant gives him a structured research plan in 3 minutes: four sub-questions that together address the topic, optimized Google Scholar search terms for each, a recommended source type, a note-taking organizer, and a thesis template to start from.

The AI Research Assistant is one of several AI tools built into OpenEduCat. It turns the intimidating blank-page moment into a structured research workflow.

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How It Works

From research topic to complete outline in four steps.

Enter the topic, grade level, and assignment requirements

The student enters their research topic, grade level, the assignment's page or word count requirement, and any specific source requirements (peer-reviewed only, primary sources required, minimum number of sources). The AI uses all of this context to generate a research plan calibrated to the scope and academic level of the assignment. A 5-page high school paper gets a different plan than a 20-page undergraduate thesis.

AI generates a structured research plan with sub-questions

The research plan breaks the topic into 4-6 sub-questions, the specific questions the student must answer in order to address the main research question. For a topic like "the environmental impact of fast fashion," sub-questions might include: What is the water usage of textile production? What happens to unsold clothing? How do supply chain distances contribute to emissions? Each sub-question maps to a section of the final paper.

Receive source types, search terms, and a note-taking organizer

For each sub-question, the AI recommends the types of sources most likely to answer it (academic journals, government reports, industry data, news articles, primary documents), and generates optimized search terms for Google Scholar, JSTOR, or PubMed. The student also receives a structured note-taking organizer, a table with columns for source, key finding, page number, and relevance to sub-question.

AI reviews the thesis statement and generates an outline

Once the student has a working thesis, they paste it into the thesis reviewer. The AI evaluates it for focus, argumentability, and specificity, and provides a revised version if it is too broad or too vague. The AI then generates a full paper outline based on the thesis and sub-questions, with section headers, the type of evidence needed in each section, and transition suggestions.

The Blank Page Problem

Research papers are the assignment that most students procrastinate on most severely. The reason is not laziness, it is that starting a research paper requires three hard decisions simultaneously: narrowing the topic, identifying relevant sources, and forming a preliminary argument. Students who have not been explicitly taught a research process can stall at the start for hours or days. The AI Research Assistant makes those first three decisions structured and fast.

Students who use a structured research workflow submit papers earlier, receive better grades on organization, and report lower stress during the research process.

4-6

Sub-questions generated

4 styles

MLA, APA, Chicago, Harvard

IB ready

Extended Essay calibrated

What the Research Assistant Includes

Everything a student needs to go from topic to structured first draft, without doing the research for them.

Research Sub-Question Generator

Research papers fail most often because the student did not break the topic into manageable sub-questions before starting. The AI generates 4-6 focused sub-questions that collectively cover the topic and map directly to paper sections. Each sub-question is specific enough to answer with evidence, "Does fast fashion contribute to water pollution?" is answerable; "What is wrong with fast fashion?" is not.

Academic Database Search Terms

Students searching for academic sources often use the same search terms they would use on Google (which produces general results rather than peer-reviewed research. The AI generates Boolean search strings optimized for Google Scholar, JSTOR, PubMed, and ERIC) using quotation marks, AND/OR operators, and field-specific MeSH terms or controlled vocabulary where appropriate. One good search term can find the three sources that make a paper.

Thesis Statement Reviewer

A strong thesis is arguable (a reasonable person could disagree), specific (it makes a precise claim), and focused (it covers only what the paper will actually address). The AI reviews a student's draft thesis against all three criteria and provides specific feedback: "This thesis is too broad, it does not specify which policy or what outcome." It then generates a revised version the student can accept or use as a starting point.

Structured Note-Taking Organizer

The AI generates a research notes table with columns pre-filled for each sub-question: source citation (formatted in the required style), key finding or quote, page number or URL, and relevance to the sub-question. Students who use a structured note-taking system before writing produce better papers because they can see gaps in their evidence before they begin drafting, not halfway through.

Full Paper Outline Generator

Once the thesis and sub-questions are set, the AI generates a full paper outline: introduction structure, one section per sub-question with recommended evidence type and approximate word count, counterargument section, and conclusion. Students who write from a detailed outline produce first drafts faster and with fewer structural revisions. The outline is editable and can be adjusted as research progresses.

Source Type Recommendations

Not all sub-questions require the same type of source. A sub-question about historical context needs primary documents and historical analyses. A sub-question about current policy needs recent government reports and news analysis. A sub-question about scientific claims needs peer-reviewed journal articles. The AI identifies which source type is most appropriate for each sub-question and recommends specific databases to search first.

Who Uses the Research Assistant

High school students writing their first research papers use the tool to understand what a research paper actually requires. Many students in 9th and 10th grade have never been taught a research process, they have been assigned research papers, but not taught how to do research. The structured plan gives them a workflow they can follow for every paper going forward.

IB Extended Essay students use the tool at the start of the two-year process to develop a research question that is focused and arguable. The IB examiner criteria for the research question are specific, the tool generates a research question that meets them and then builds the rest of the plan around it.

Undergraduate students use the tool for seminar papers and capstone projects. At the undergraduate level, the quality of the research question is often the difference between a B and an A paper. The thesis reviewer holds undergraduate-level claims to a higher standard of specificity and argumentability.

Research teachers and librarians use the tool as a classroom demonstration at the start of a research unit to show students what a structured research plan looks like before they generate their own. The AI output becomes a model that students analyze and adapt.

Frequently Asked Questions

Common questions about the AI Research Assistant.

Yes, this is the primary use case. The most common student research crisis is having a topic and a blank page. The AI Research Assistant converts the topic into a structured research plan: sub-questions to answer, sources to find, search terms to use, and an outline to write from. Students who use the tool at the start of the research process spend less time stuck and more time actually researching.

Related AI Tools

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