From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle
Anna Ostrowska, Michał Kukla, Gabriela Majstrak, Jan Opala, Sebastian Pergała, Jan Skwarek, Anna Wróblewska
Abstract
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. Demo Video: https://tinyurl.com/4zz4bcjn
BibTeX
@inproceedings{ijcai2026_fromsurfacelearn,
title = {From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle},
author = {Anna Ostrowska and Michał Kukla and Gabriela Majstrak and Jan Opala and Sebastian Pergała and Jan Skwarek and Anna Wróblewska},
booktitle = {IJCAI 2026},
year = {2026}
}