Research and Practice on Developing Teaching Teams for AI General Education in Higher Vocational Colleges

Abstract

 This study examines how teaching teams can develop the complementary capabilities in technology application, industry understanding, and translation of expertise into teaching required for AI general education in higher vocational colleges. Taking Jiangsu Maritime Institute as a case, it explores pathways for team development and mechanisms for teaching delivery. Within the “1+M+N” curriculum framework, shared platforms bring together faculty from different disciplines, research–teaching integration converts projects supporting industrial digital and intelligent transformation into teaching resources, and a three-setting professional development initiative strengthens teachers’ capabilities. Collaboration between general education and disciplinary faculty, structured mentoring, and human–AI collaboration supports the division of teaching responsibilities, knowledge sharing, and classroom improvement. The resulting approach connects team development with teaching practice and offers a reference for industry-oriented vocational colleges developing AI general education teaching teams.