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

Year: 2026

Type: article

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.

Source: Academic Journal of Education

DOI: 10.54097/fhcakd54

Authors: Juan Zhang, Taizhi Lv

Institution: Jiangsu Maritime Institute

Language: English

Topic: Higher Education and Teaching Methods

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: hybrid

Funder: Government of Jiangsu Province