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From Surface Learning To Deep Understanding: A Grounded AI Tutoring System For Moodle

Authors
Anna Ostrowska,
Michał Kukla,
Gabriela Majstrak,
Jan Opala,
Sebastian Pergała,
Jan Skwarek,
Anna Wroblewska ´
Date
Publisher
arXiv
This demo paper describes the development of the AI Teaching \& Learning Assistant, a modular Moodle plugin that leverages Retrieval-Augmented Generation (RAG) to deliver high-quality, hallucination-free education. The system employs a dual-centric design, providing students with interactive, Socratic-based tutoring and educators with a "human-in-the-loop" workspace for supervised content generation. By grounding Large Language Model (LLM) responses in teacher-provided materials, the assistant addresses the risks of misinformation while encouraging deep conceptual mastery. Evaluation via the Ragas (LLM-as-a-Judge) framework and a preliminary user study confirms its effectiveness, achieving faithfulness scores up to 0.97 and a 4.00/5.00 recommendation rate.
Who is the user?
Who age?