Responsible generative AI in higher education: Expert validation of a compact RAG for technical and pedagogical robustness

Innovations in Education and Teaching International 2026 Open access

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Authors: Tim Debets, Seyyed Kazem Banihashem, Gideon Maillette de Buy Wenniger, Desirée Joosten-ten Brinke, Tanja E. J. Vos, Gino Camp
DOI: 10.1080/14703297.2026.2686372
Cited by: 1
References: 33

Abstract

Generative AI (GenAI) tools offer opportunities to support higher education students in adopting effective learning strategies, an area where guidance is lacking. Although evidence-based strategies such as retrieval practice and distributed practice enhance long-term learning, students frequently rely on less effective approaches due to limited instruction. GenAI could provide personalised, just-in-time support, but concerns about accuracy, trustworthiness, and pedagogical quality complicate its responsible use. This mixed-methods study examines how a compact retrieval-augmented generation system (

Fields of Study & Subjects

Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Healthcare and Education Online Learning and Analytics

Publication details

Journal / source
Innovations in Education and Teaching International
Publisher
Informa UK Limited
Pages
1–18
Publication date
18 June 2026
Language
EN