RAG Learner: An Interactive Tool for Teaching Retrieval-Augmented Generation
Year: 2026
Type: conference-paper
Abstract: Large language models have made AI literacy an essential graduate skill, yet underlying architectures like Retrieval-Augmented Generation (RAG) remain inaccessible to most students, particularly outside specialist computing programmes. We designed RAG Learner as an interactive tool to teach core RAG concepts through structured modules; its evaluation with 26 university participants demonstrated significant learning gains (55.8% to 88.5%, p < 0.001) alongside consistently high perceived effectiveness (mean 3.78/4.0).
Institution: University of Warwick
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7204182795
