Research on the Realistic Dilemma and Optimized Path of Education Governance Modernization from the Perspective of Artificial Intelligence
Hui Li, Zhenjing Pang, Yanjun Li · 2021
Supported by Artificial Intelligence centered on heuristic search, machine learning, and expert systems, modern education governance presents the typical characteristics of governance process transparency, subject diversification and system intelligence. However, from the perspective of Artificial Intelligence, education governance modernization is not only stuck in the “structural” absence of multiple governance subjects, but also trapped in the “initiative” shortage of vertical one-way organizational structure and the “data” block of modern education governance paradigm. Thus, the application of Artificial Intelligence in intelligently mining data and information, autonomously adapting to complex educational situations, and systematically optimizing governance decisionmaking behavior is limited. This paper explores the optimized path of education governance from three dimensions of concept cultivation, subject training and technology innovation, rationally discusses the “interactive” application of Artificial Intelligence and education governance modernization, so as to promote the deep integration of artificial intelligence and education governance, and improve education governance modernization as well as talent cultivation in the new era.