Keywords
Postgraduates
Interdisciplinary
Teaching model
Submitted : 2026-03-03
Accepted : 2026-03-18
Published : 2026-04-02
Abstract
This paper aims to explore an interdisciplinary postgraduate course teaching model based on AIGC (Artificial Intelligence Generated Content) technology. Taking the course Biomass Energy Engineering and Technology as the carrier, it constructs a “Four-Wing Intelligent Integration” interdisciplinary teaching model from four dimensions: AIGC-assisted reconstruction of interdisciplinary teaching content, iterative update of the Chaoxing AI teaching platform, AIGC-assisted flipped classroom, and AI intelligent evaluation and feedback. The model promotes students’ personalized learning and the development of interdisciplinary competence, and a replicable AIGC interdisciplinary teaching model has initially taken shape, providing a reference for the digital and intelligent reform of postgraduate education and teaching.
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