Tutoring Prompt for Personalized Self-Study Using Generative AI
Abstract
This educational material presents a reusable tutoring prompt for general-purpose generative AI systems (e.g., ChatGPT, Gemini, Claude, Copilot, Perplexity) designed to support personalized self-study. The prompt turns a chatbot into an adaptive self-testing engine: it asks a sequence of multiple-choice questions, waits for the learner’s response, provides brief feedback, and adjusts difficulty based on performance. While the approach can be adapted to many disciplines, the current implementation is tuned to College Physics 2e, Chapter 21 (Circuits and DC Instruments) and uses “formulas only” answer choices to emphasize symbolic reasoning and reduce reliance on verbal cues. Shared in the spirit of the NAIRR Pilot’s emphasis on training, sharing best practices, and community building, this resource invites educators to test the prompt, adapt it to their own subjects, and share outcomes, examples, and improvements.
Fields of Study & Subjects
Intelligent Tutoring Systems and Adaptive Learning
Artificial Intelligence in Education
Artificial Intelligence in Healthcare and Education
Publication details
- Journal / source
- CUNY Academic Works (City University of New York)
- Publication date
- 4 March 2026
- Language
- EN