Research on the Path to Enhancing the Digital Teaching Ability of Medical Graduate Supervisors Based on AIGC

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Authors: Junjie Huang, Shuangshuang Cao, Jinwang Luo, Haotian Wang, Jingran Zhou, Xiaoting Hao
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Abstract

With the advancement of AIGC and related technologies, medical education is undergoing a profound digital transformation. However, medical graduate supervisors face multiple challenges in this process, including insufficient technical proficiency, low utilization of teaching resources, outdated pedagogical models, and an underdeveloped evaluation system. To address these issues, this study proposes a multidimensional framework for enhancing supervisors’ capabilities. Key strategies include strengthening technical training, establishing a mechanism for sharing high-quality resources, encouraging innovation in teaching methods, and implementing a dynamic evaluation system. These measures aim to improve the effectiveness of digital teaching and lay a solid foundation for cultivating healthcare professionals who meet the demands of the new era.

Fields of Study & Subjects

Educational Technology and Pedagogy Ideological and Political Education Advanced Technologies in Various Fields

Publication details

Journal / source
Journal of Higher Education Research
Volume
6
Issue
6
Pages
714–714
Publication date
9 January 2026