Development and Practice of Ideological and Political Education in Machine Learning Courses Based on Industry-Education Integration
Abstract
widely applied in various industries. This article focuses on the background of industry-education integration and explores how to integrate
ideological and political education into machine learning courses, aiming to cultivate high-quality talents who not only master advanced
technologies but also have a sense of social responsibility. By analyzing the necessity of industry-education integration, specifi c practical
strategies for the ideological and political education construction of machine learning courses are proposed, and the eff ectiveness of these
strategies is verifi ed with case studies.
Keywords
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[1] Xie, L. Ideological and political education of Chinese overseas students in the “Overview of China” course under the background of the new generation of
artifi cial intelligence. Chinese Education Journal, 2024(04): 153.
[2] Han Xianzhou. The development history, current status, and practical refl ection of ideological and political education in the curriculum. Chinese Higher
Education, 2021(23): 20-22.
[3] Wang Shixing, Chen Benfeng. The enabling eff ect, practical misconceptions, and optimization path of the construction of urban industrial-educational
alliance. Education Science Forum, 2024(09): 6-10.
[4] Xu Yesong, Hu Ping, Dai Jiashu, et al. Exploration of problem-oriented machine learning course teaching. Computer Knowledge and Technology, 2024,
20(04): 46-48.
[5] Li Shuang, Han Rui, Li Xuanya. Teaching Reform of Machine Learning Courses Based on Knowledge Transfer [J]. Computer Education, 2024(05):53-58.
[6] Su Tong. Analysis of Teaching Reform of Python Programming Courses for AI [J]. Offi ce Automation, 2024, 29(09):47-49.
[7] Liu Wei, Lu Tao, Chen Deng. Reconstruction of the Practical Teaching System and Evaluation Mechanism of New Generation Information Technology
Professional Clusters Driven by Industry-Education Integration [J]. Computer Education, 2024(06):73-77.
[8] You Ruirong, Yan Biying, Zhang Juling. Exploration of the Construction Model of Case-Based Interactive Teaching Resources Co-Constructed by Schools
and Enterprises under Industry-Education Integration [J]. Shanxi Youth, 2024(10):27-29.
DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i6.13240
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