Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
arXiv:2607.13370v1 Announce Type: new Abstract: This paper is an extension of a paper presented at the ICAART 2026 conference, which introduced LEA (Learning Engagement Assistant), an adaptive AI tutoring agent combining course-specific Retrieval-Augmented Generation (RAG) with structured Knowledge Component (KC) models across integrated Chat, Tutor, and Quiz modes. That prior work validated LEA on a single STEM course (CMP511) exclusively through simulation, using synthetic learner agents. This
Record details
Published: 16 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Children & education · Agents & autonomy
Retrieved: 16 July 2026
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ethics.ai (16 July 2026), “Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System,” evidence record 10540, https://ethics.ai/record/10540 (originally published by arXiv cs.CY).
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