Author(s)

JunJun Wei, Jie Song, WenShuai Jiang, GeQiang Li, Chang Wang, XiWen Liu, ShouYing Wang^*

Affiliation(s)

Xinxiang Medical University, Xinxiang, Henan,453003, China.

Corresponding Author

ShouYing Wang

ABSTRACT

In response to the call for constructing national first-class undergraduate courses and promoting educational reform, this study explores new pathways for artificial intelligence (AI) to assist in the development of "golden courses" in university health management, aiming to provide a reference for improving the current state of health education in universities. Through a literature review, the importance of constructing "golden courses" for university students’ health management is recognized, along with issues such as outdated teaching content, obsolete teaching methods, and insufficient student engagement. Therefore, this study applies an interdisciplinary research approach to integrate AI technologies with university health management education, aiming to innovate teaching methods and improve teaching quality. Ultimately, an AI-assisted construction plan for health management "golden courses" is developed, encompassing the entire teaching process. This plan helps address the shortcomings of traditional health management courses, enhances teaching quality, and facilitates the transformation of educational outcomes, enabling students to acquire knowledge and skills for self-health management, thereby improving the overall health level of university students.

KEYWORDS

University health management; "Golden course" development; Artificial intelligence

CITE THIS PAPER

JunJun Wei, Jie Song, WenShuai Jiang, GeQiang Li, Chang Wang, XiWen Liu, ShouYing Wang. The construction of "golden courses" for university health management in the era of artificial intelligence. Trends in Social Sciences and Humanities Research. 2024, 2(10): 46-51. DOI: https://doi.org/10.61784/tsshr3100.

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