Research on the Path to Enhancing the Digital Teaching Ability of Medical Graduate Supervisors Based on AIGC
Journal: Journal of Higher Education Research DOI: 10.32629/jher.v6i6.4695
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challenges in this process, including insufficient technical proficiency, low utilization of teaching resources, outdated pedagogical models, and an underdeveloped evaluation system.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.
Keywords
AIGC, medical postgraduate supervisor, digital teaching ability, improvement path
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[4] WANG Ruobin, LI Meihui, SONG Wei, JI Xiangting. Role positioning and functional extension of AIGC in empowering computer basic education: A teaching design and practice based on double-chain iteration[J]. Computer Education, 2024(10): 159–163+168.
[5] JIANG Airong. Technological development and application trends of digital resource integration systems[J]. Library Journal, 2006(12): 14–18.
[6] YANG Haijuan. Analysis of the development of AIGC and its application in teaching[J]. Journal of Lanzhou Vocational Technical College, 1–6.
[7] SHANG Junjie. Artificial intelligence gives wings to personalized learning[J]. Hubei Education (Education and Teaching), 2025(01): 1.
[8] JIANG Zhehan, FENG Shicong, WANG Weimin. Application, challenges, and prospects of artificial intelligence generated content in medical education[J]. The Chinese Journal of ICT in Education, 2024, 30(08): 29–40.
[9] WANG Xuan, LIU Hongbo, HAN Jiale, LIU Shiqiao. SWOT analysis of AIGC empowering medical education[J]. China Medical Education Technology, 2024, 38(04): 427–432.
[10] ZHU Zhiting, DAI Ling, HU Jiao. High-consciousness generative learning: Learning paradigm innovation empowered by AIGC technology[J]. e-Education Research, 2023, 44(06): 5–14.
Copyright © 2026 Junjie Huang, Shuangshuang Cao, Jinwang Luo, Haotian Wang, Jingran Zhou, Xiaoting Hao
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