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Human-AI collaborative teaching for entrepreneurship learning in vocational higher education

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This study proposes a theoretical framework for fostering effective human-AI collaborative teaching in the AI era by integrating the foundational principles of Cognitive Load Theory (CLT) and Affective Events Theory (AET). Within this framework, the roles of learning self-efficacy, learning engagement, and educators’ personalised mentoring as interventions in the framework are justified. Although this study aims to guide important future directions from a holistic perspective, it is limited by a lack of empirical data. Finally, the study concludes by discussing key implications and outlining a future research agenda.

Original languageEnglish
JournalInnovations in Education and Teaching International
DOIs
StateAccepted/In press - 2025

Keywords

  • cognitive load
  • learning engagement
  • learning self-efficacy
  • personalized mentoring
  • Value creation

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