mlsanityData to 13 Oct 2026

From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle

arXiv 2605.06963 ↗First posted 7 May 2026cs.HC cs.AI cs.CLcited by 0

On the map: Retrieval-augmented generation → Agentic RAG, agents and memory

Abstract (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.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Placed in Agentic RAG, agents and memory, one of 15 directions in Retrieval-augmented generation. Builds on 5 of its 26 references that are in the map. First posted on arXiv 7 May 2026.

Builds on

5 of 26 references.

References · 5

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,221
  2. 2022Survey of Hallucination in Natural Language Generationcited by 2,068
  3. 2023Ragas: Automated Evaluation of Retrieval Augmented Generationcited by 413
  4. 2023The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Erniecited by 5
  5. 2025Evaluating LLM-Generated Q&A Test: a Student-Centered Studycited by 3

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  1. 2025Towards an Efficient, Customizable, and Accessible AI Tutor
  2. 2026Beyond the Chatbot: Co-Learning and Co-Teaching through a Dual-Persona Generative-AI Assistant
  3. 2026EduGuard: A Safe RAG-Based LLM Tutor for Programming Education ↗
  4. 2025From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM
  5. 2026Large Language Models in Teaching and Learning: Reflections on Implementing an AI Chatbot in Higher Education ↗
  6. 2026Generative AI-Based Virtual Assistant using Retrieval-Augmented Generation: An evaluation study for bachelor projects
  7. 2026Retrieval-Augmented Tutoring for Algorithm Tracing and Problem-Solving in AI Education
  8. 2025Small Language Models for Curriculum-based Guidance