Pedagogical framework for hybrid intelligent feedback
Generative AI (GenAI) has gained attention as a new feedback source in education because it can generate human-like text. However, its use in feedback lacks a strong pedagogical framework, which is necessary for effective implementation. This paper addresses this gap. It outlines human-centered feedback challenges, and then explores human and artificial cognition differences, highlighting the need for hybrid intelligence. Next, it positions GenAI feedback within feedback theory and proposes a definition for GenAI feedback. The paper conceptualizes the role of GenAI feedback as either an independent source or as part of a collaborative process with humans referred to as “Hybrid Intelligent Feedback”. Building on this conceptualization, it discusses the approaches and principles of hybrid intelligent feedback and then proposes a pedagogical framework that outlines the implementation steps for hybrid intelligent feedback. The paper concludes by describing the pedagogical framework and outlining recommendations for future research on hybrid intelligent feedback.
Authors
- Hassan Khosravi (ORCID: https://orcid.org/0000-0001-8664-6117)
- Christian Dieter Schunn (ORCID: https://orcid.org/0000-0003-3589-297X)
- Hendrik Drachsler (ORCID: https://orcid.org/0000-0001-8407-5314)
- Seyyed Kazem Banihashem (ORCID: https://orcid.org/0000-0002-9978-3783)
- Omid Noroozi (ORCID: https://orcid.org/0000-0002-0622-289X)
Institutions
- Goethe University Frankfurt (DE)
- The University of Queensland (AU)
- University of Pittsburgh (US)
- Hong Kong Metropolitan University (HK)
- Wageningen University & Research (NL)
Publication Details
- Journal
- Innovations in Education and Teaching International
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1080/14703297.2025.2499174
- Citations
- 25
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 62.02