Generative Artificial Intelligence (GenAI) in higher education : human-AI collaborative learning in Hong Kong

Abstract

This paper reports on a university-funded teaching development project conducted to integrate collaborative learning among learners, teachers, and Generative Artificial Intelligence (GenAI) to enhance the effectiveness of student learning in higher education in Hong Kong. Students first acquired theoretical knowledge of business leadership in traditional lecture settings; they then applied these concepts by proposing promotional projects for local companies, developing role-play scripts, and consulting GenAI for formative feedback. The process involved learner-AI collaboration for feedback-giving and idea improvement through iterative cycles. Findings highlight the effectiveness of human-AI collaboration in learning, deepening understanding, and improving leadership behaviours in scenario-based contexts. The study demonstrates best practices for leveraging GenAI in collaborative learning, offering transferrable insights for higher education across disciplines. It promotes enhanced student engagement and personalised learning through human-AI interaction.