A Study on Implementation Pathways for AI-Powered Full-Process Intelligent Courses to Enhance Precision in Medical Education
DOI:
https://doi.org/10.71204/eytj1362Keywords:
Artificial Intelligence, Smart Courses, Full-Process Construction, Knowledge Graphs, Adaptive Learning, Medical EducationAbstract
This study focuses on innovative pathways for leveraging artificial intelligence (AI) technology to enhance higher education course development, with the core objective of establishing a smart course system that encompasses the entire process from course design, teaching implementation, learning support, to evaluation and feedback. Leveraging AI technologies such as knowledge graphs and large language models, a systematic smart course platform has been developed, featuring core modules including AI-assisted lesson plan design, intelligent student performance analysis, digital virtual teachers, adaptive learning pathways, and intelligent assessment feedback. Practical applications have demonstrated that the platform addresses key challenges through four pillars: ‘AI-empowered course design and planning,’ ‘innovative “teacher/student/machine” deep interaction teaching models,’ ‘adaptive learning paradigms enabling “active learning,”’ and ‘enhancing assessment methods through diversified evaluation.’ This has effectively addressed key issues such as inaccurate learning situation analysis, monotonous teaching models, insufficient teacher AI skills, and the lack of dynamic quantification in evaluations. It has significantly improved course teaching quality and student learning efficiency, providing a scalable smart course model for the digital transformation of higher education.
References
Chen, B. W., Wu, K. H., Wei, J., Wang, Y. Q., Li, Z. S. N., Yang, S., & Meng, X. Y. (2024). Practice and Thinking of the Supervisor Responsibility System in the Connected Training Mode of Undergraduates and Postgraduates of Medical Students. International Journal of Geriatrics, 45(01), 121-125.
Fu, H. R., Liu, W. J., Zhu, L. Y., Long, Y., Xiang, B., & Yang, H. J. (2025). Exploration of AI-Assisted Diagnosis Teaching Pathways Based on Huazhi Yihui Platform. Continuing Medical Education, (06), 112-115.
Fu, M. (2025). Exploration of a Knowledge Graph-based Smart Teaching Model for Transportation Management Courses. Auto Time, (17), 90-92.
Huang, Y. P., Wu, H. D., Liu, H., Dai, H. L., Jin, L., Wang, L. J., & Sun, J. (2023). Construction and practice of formative evaluation system from the perspective of educational informationization 2.0. China Medical Education Technology, (04), 458-462+467.
Jin, G. P. (2025). Exploratory practice of integrating medical humanities education into clinical teaching of specialised traditional Chinese medicine disciplines. Journal of Chinese Medicine Management, (14), 255–257.
Lang, L. L., Su, J. T., Ren, W. N., Meng, J. J., Lu, Z. Z., Shen, T., & He, H. M. (2025). Generative AI Empowering Higher Medical Education: The Path of Transformation from Curriculum to Assessment. Chinese Journal of Medical Education Technology, 1-6.
Li, J., Li, Y. K., Wang, Q. B., Liang, Y. B., Luo, W. L., Chen, X. M., & Ke, Y. ( 2024). Preliminary Exploration of Education Effect of Innovation and Entrepreneurship Competition for Medical Students with the Theme of Medical-Engineering Integration. Medical Education Research and Practice, (04), 404-408.
Lillehaug, S. I., & Lajoie, S. P. ( 1998). Ai in medical education—another grand challenge for medical informatics. Artificial Intelligence in Medicine, (3), 197.
Thurzo, A. (2025). How is AI Transforming Medical Research, Education and Practice?. Bratislava Medical Journal, 126, 243–248.
Wang, F., Liu, Y. Q., & Zhou, T. H. ( 2024). Artificial Intelligence Driving Digital Innovation in Higher Education. Chinese Higher Education, (Z1), 9-12.
Yang, X. M., Shen, Z. F., Xiong, Y. B., Chen, W. D., Chen, H., Chen, Y. X., & Shao, Y. J. (2025). Research on artificial intelligence enabling medical students to be creative. Journal of Bengbu Medical University, (01), 46-51.
Zhou, Z., Cao, J., Zhou, B. B., Din, L., Zhu, H. Y., Guo, H. J., & Yang, B. (2025). Exploration and Practice of AI-empowered Pharmaceutical Education Reform. Pharmaceutical Education, (04), 1-6.
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Copyright (c) 2025 Xiaozhong Chen, Jianing Liang, Yueyang Jiang, Xiaofeng Jin (Author)
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