Enhancing Learning Interactions in Intelligent Tutoring Systems with RAG-Based Dynamic Question Answering : A Case Study on Quadratic Equation Solving

Moustapha, Ahmat Khalid (2025). Enhancing Learning Interactions in Intelligent Tutoring Systems with RAG-Based Dynamic Question Answering : A Case Study on Quadratic Equation Solving. Essai de deuxième cycle. Gatineau, Université du Québec en Outaouais, Département d'informatique et d'ingénierie, 75 p.

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Résumé

This research explores the enhancement of learning interactions within Intelligent Tutoring Systems (ITS) through the integration of dynamic question-answering mechanisms powered by Retrieval-Augmented Generation (RAG). By leveraging RAG, the system can retrieve relevant instructional content at runtime and generate contextually appropriate responses, making the learning experience more adaptive and responsive to individual student needs.
The study focuses on the application of this approach in the domain of solving quadratic equations, a foundational topic in secondary mathematics. Through this case study, the research demonstrates how RAG can be used to guide learners more effectively, provide tailored support, and foster deeper engagement.
The goal is to contribute to the advancement of ITS by increasing the adaptability, responsiveness, and pedagogical effectiveness of question-answering components.

Type de document:	Thèse (Essai de deuxième cycle)
Directeur de mémoire/thèse:	De Lima Sobreira, Péricles
Départements et école, unités de recherche et services:	Informatique et ingénierie
Date de dépôt:	02 avr. 2026 14:11
Dernière modification:	02 avr. 2026 14:11
URI:	https://di.uqo.ca/id/eprint/1912

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