---
title: "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 Wróblewska"
doi: "10.24963/ijcai.2026/984"
url: "https://ijcai.org/proceedings/2026/984"
pdf: "https://ijcai.org/proceedings/2026/0984.pdf"
venue: "Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence"
year: 2026
pages: "8479-8482"
track: "Demo Track"
keywords:
  - "AI: Multidisciplinary Topics and Applications"
  - "AI: Natural Language Processing"
  - "AI: Search"
  - "AI: Humans and AI"
---

# 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

*Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence*, pages 8479-8482. DOI: [10.24963/ijcai.2026/984](https://doi.org/10.24963/ijcai.2026/984)

## 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, highly
selective answers strictly grounded in teachers’ materials. The system employs a dual-centric design, providing students with interactive, Socratic-based tutoring options and educators with a “human-in-the-loop” workspace for supervised content generation, e.g., quizzes, tasks, or short summaries. 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 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