Prompt-engineering framework enables scalable, real-time micro-level personalization in a general-purpose AI teaching assistant (LLM/RAG-based Jill Watson)
Read the original at arxiv.org→arXiv:2609.03402v1 Announce Type: new Abstract: Artificial intelligence (AI) teaching assistants powered by large language models (LLMs) offer scalable educational support but often provide limited personalization....
Original headline: "A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant"
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- Sep 4, 04:00 UTC arXiv cs.AI lead source A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant