Pedagogical framework for hybrid intelligent feedback

Seyyed Kazem Banihashem*, Omid Noroozi, Hassan Khosravi, Christian D. Schunn, Hendrik Drachsler

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

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.
Original languageEnglish
Number of pages17
JournalInnovations in Education and Teaching International
DOIs
Publication statusE-pub ahead of print - 29 Apr 2025

Keywords

  • Artificial intelligence
  • Artificial cognition
  • Feedback
  • generative AI
  • human-AI collaboration
  • Hybrid intelligent feedback

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