BloomTutor: Retrieval Augmentation for Bloom's Taxonomy Question Generation
EPFL Infoscience · 2025
Abstract
We present BloomTutor, an Intelligent Tutoring System (ITS) that integrates Retrieval-Augmented Generation (RAG) with Bloom's Taxonomy to support learners in exploring, revising, or querying specific topics within a predefined subject or course. Our system retrieves relevant course materials based on user queries, segments them into concise chunks, and generates questions aligned with cognitive levels. Learner responses guide real-time adjustments in question difficulty, enabling progression toward higher-order thinking or reinforcement of foundational concepts. Unlike most ITS that rely on fixed question banks, Bloom-Tutor generates context-specific questions in real time, allowing greater coverage and responsiveness to diverse learner queries and progress.
- Venue
- EPFL Infoscience
- Year
- 2025
Cite this paper
Yannis Laaroussi, Vinitra Swamy, Paola Mejia-Domenzain, Adrien Vauthey, Aybars Yazici, Maxime Perrot & Tanja Käser (2025) BloomTutor: Retrieval Augmentation for Bloom's Taxonomy Question Generation. EPFL Infoscience.
BibTeX
@inproceedings{laaroussi2025bloomtutor,
title = {{BloomTutor: Retrieval Augmentation for Bloom's Taxonomy Question Generation}},
author = {Yannis Laaroussi and Vinitra Swamy and Paola Mejia-Domenzain and Adrien Vauthey and Aybars Yazici and Maxime Perrot and Tanja Käser},
year = {2025},
booktitle = {EPFL Infoscience},
publisher = {École Polytechnique Fédérale de Lausanne},
url = {https://paola-md.github.io/papers/bloomtutor-retrieval-augmentation-for-bloom-s-taxonomy-question-generati.html}
}