Abstract
This demo paper describes the development of the AI Teaching & Learning Assistant, a mod ular Moodle plugin that leverages Retrieval Augmented Generation (RAG) to deliver high quality, hallucination-free education. The sys tem employs a dual-centric design, providing stu dents with interactive, Socratic-based tutoring and educators with a ”Human-in-the-loop” workspace for supervised content generation. By ground ing 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 rec ommendation rate. Keywords: Artificial Intelligence in Educa tion (AIED), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Learning Management System (LMS) Demo Video: https://tinyurl.com/mrytc2dr
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