AI Research Assistant for Higher Education
Amara is a second-year undergraduate writing her first 15-page seminar paper on post-colonial land reform. She has read four articles and has a folder of browser tabs she does not know how to organize. The AI Research Assistant helps her articulate her central argument, break it into a literature review structure, generate Boolean search strings for JSTOR and Google Scholar, and identify which sub-questions her current sources answer, and which are still unanswered.
JSTOR+
Scholarly database search strings
Lit review
Structured literature review scaffold
APA 7 / Chicago
Graduate citation styles supported
How Undergraduate and graduate students Use It
Real research workflows, not generic examples.
Literature review structure and gap identification
A literature review is not a summary of everything written on a topic, it is an argument about what the existing literature does and does not explain. The AI helps students articulate the conversation in the field: what has been established, what is contested, and where the gap is that their paper will address.
Scholarly database search strategies for JSTOR, PubMed, and ProQuest
Undergraduates searching scholarly databases often use the same approach as Google (typing a question in natural language) which produces poor results. The AI generates Boolean search strings with quotation marks for exact phrases, AND/OR operators, NOT operators, and field codes to search within titles or abstracts.
Graduate seminar paper thesis development and argument mapping
Graduate seminar papers require a thesis that makes an original scholarly contribution. The AI helps graduate students move from a topic to an argumentative position and generates an argument map showing how each piece of evidence supports or complicates the central claim.
Higher Education Research, Frequently Asked Questions
Common questions from undergraduate and graduate students about using the AI Research Assistant.
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