研究文章

Logical Framework and Practical Approaches of AI Empowering University Educational Management from the Perspective of Technology Implementation Theory

摘要

With the rapid advancement of modern digital technologies, artificial intelligence (AI) has become a key driver for innovation in higher education. Guided by the "technology-institution-action" logical framework of Technology Implementation Theory, the application of AI in university student management essentially involves achieving Pareto optimality in collaborative management, policy formulation, and execution through the mutual construction among information technology, university bureaucratic organizations, and existing institutions. However, technological adoption may pose risks such as data security risks, the dilemma of managerial uncertainty, and impaired effectiveness of educational management. University educational management must not only embrace emerging technologies but also prudently address their potential risks. By advancing the deep integration of AI with educational management across technological, institutional, and operational dimensions, universities can modernize their governance systems and capabilities, thereby fulfilling the fundamental mission of fostering virtue through education.

 

关键词

technology; institution; action; university; Educational Management

参考

Ding, H., & Yang, D. F. (2010). Strategies for reducing information asymmetry in policy implementation. Chinese Public Administration, (12).

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Fountain, J. E. (2010). Building the virtual state: Information technology and institutional innovation (S. Guosong, Trans.). China Renmin University Press.

Luo, L., Huang, D. D., & Feng, W. F. (2023). Research on the technology implementation framework of digital government affairs—From the perspective of collaborative governance. China Government Offices Administration, (2).

Qiu, Z. Q. (2018). The asynchronous dilemma of technologized social governance. Social Development Research, (4).

Xu, X. F., & Wang, C. (2024). The transformation logic, risk challenges, and practical paths of university ideological and political education from the perspective of new-generation artificial intelligence. Studies on Core Socialist Values, (4).

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Huai, J. P. (2023, February 15). Digital transformation and the future of education. China Teacher's News, p. 1.

Author Contact Information

Address: Shanghai University of Political Science and Law, 7989 Waiqingsong Highway, Qingpu District, Shanghai

Postal Code: 201701

Tel: 15821536883

Email: xu_lihong@

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