AI in Education
Brent Fulton, Associate Director
Public Health
Applications for Spring 2026 are closed for this project.
Artificial intelligence is increasingly being used in teaching to personalize instruction, provide rapid formative feedback, support tutoring and practice through adaptive systems, and help instructors modify or extend existing course materials more efficiently than traditional lecture re-recording allows. AI tools can generate examples, quizzes, simulations, and alternative explanations tailored to student performance, potentially improving engagement and mastery while reducing instructor time spent on repetitive tasks.
Role: The proposed research will survey and synthesize the emerging interdisciplinary literature on AI-enabled teaching to identify evidence-based best practices, with particular attention to instructional design, feedback quality, faculty oversight, and safeguards against over-automation. This review will assess which pedagogical uses of AI are most strongly associated with improved learning outcomes, under what conditions they are effective, and where important evidence gaps remain, providing a foundation for future empirical evaluation and responsible adoption in higher education teaching.
Qualifications: Required skills include the following: strong writing skills; interest in AI; proficiency in searching for literature (e.g., Google Scholar). Desirable but not essential skills include the following: Zotero reference software within Google docs; experience with Google Sheets. Hours per week is about 8-10 (so you could select 6-8 or 9-11).
Hours: 6-8 hrs
Off-Campus Research Site: We will meet weekly for an hour over Zoom or at 2121 Berkeley Way in the School of Public Health building. Remaining work can be done off-campus.
Related website: https://publichealth.berkeley.edu/people/brent-fulton/
Biological & Health Sciences Social Sciences