Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
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 paper extends that work by reporting the first
Record details
Published: 15 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Children & education · Agents & autonomy
Retrieved: 16 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
arXiv cs.CY · 16 July 2026
Diagnosing and Calibrating Tool-Call Boundary Drift in Multi-Teacher On-Policy Distillation
HuggingFace Daily Papers · 14 July 2026
Modelling individual participants as LLM agents in collaborative problem solving simulations
Computers and Education: Artificial Intelligence · 14 July 2026
Designing large language model-based agents with 5E framework for ESL learners’ grammar acquisition
Computers and Education: Artificial Intelligence · 14 July 2026
How high-school pressure and autonomy support are linked to dual AI learning pathways: A cross-contextual SEM analysis
Computers and Education: Artificial Intelligence · 14 July 2026
Designing conversational Agents for adaptive instructional support in business simulation gaming
Computers and Education: Artificial Intelligence · 14 July 2026
How to cite this record
ethics.ai (15 July 2026), “Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System,” evidence record 10927, https://ethics.ai/record/10927 (originally published by arXiv cs.HC).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.