A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant
A prompt-engineering-based framework for personalizing general-purpose LLM/RAG-based AI teaching assistants such as Jill Watson across academic disciplines and courses is presented, providing preliminary evidence that prompt-based personalization can support adaptive behavior in LLM-powered educational agents.
S. Basu, Sandeep Kakar, Ashok K. Goel
· 0 citations