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Evaluating a GPT-4 and Retrieval-Augmented Generation-Based Conversational Agent to Enhance Learning Experience in a MOOC

Fatma Miladi,Valéry Psyché,2 Authors,Daniel Lemire

2025 · DOI: 10.5220/0013366100003932
International Conference on Computer Supported Education · 1 Citations

TLDR

A pedagogical AI-powered conversational agent enhanced with Retrieval-Augmented Generation to provide real-time, contextually relevant support in Massive Open Online Courses face significant challenges due to low completion rates, primarily caused by insufficient personalized support for learners.

Abstract

: Massive Open Online Courses (MOOCs) face significant challenges due to low completion rates, primarily caused by insufficient personalized support for learners. To address this, we developed a pedagogical AI-powered conversational agent enhanced with Retrieval-Augmented Generation (RAG) to provide real-time, contextually relevant support. Our evaluation with 25 learners demonstrated a statistically significant knowledge gain in the experimental group compared to the control group. Additionally, the agent achieved a high System Usability Scale (SUS) score. These findings highlight the potential of AI technologies to enhance online learning environments and inform future research on their role as learning companions in distance education.

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