TITLE:
Artificial Intelligence Enabling Education Governance: Value Orientation, Key Issues, Path Optimization
AUTHORS:
Pingping Sun, Tao Huang, Wenbo Ma, Zhu Gao, Jie Cai
KEYWORDS:
Educational Governance, Artificial Intelligence, Data Empowerment, Digital Transformation of Education
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.12 No.11,
November
15,
2024
ABSTRACT: Educational governance is an important hand in modernizing the national educational governance system and governance capacity. Artificial intelligence is reconfiguring education time and space, empowering the whole process of education, various links, and multiple fields in a holistic and coherent manner. Based on the research and judgment needs of education governance, it is based on the ontology, phenomenon, value, and process to summarize the value implication and technology orientation. At present, AI-enabled education governance faces problems, such as insufficient consideration of ethical and legal boundaries, imperfect governance concepts, modes and systems, shortcomings in technology integration and application, and insufficient efforts to transform the governance system into an intelligent one, etc. Policy recommendations are put forward to address the above key issues from four aspects: strengthening ethical scrutiny and building an intelligent regulatory and legal system; reshaping the governance framework; and strengthening the governance system. In view of the above key issues, policy recommendations are put forward in four aspects: strengthening ethical review and constructing an intelligent regulatory legal system; reshaping the governance framework and constructing a new ecology of human-machine synergy; activating the digital ecology and realizing a new pattern of overall intelligent governance; and integrating science and efficiency to drive the intelligent transformation of education governance, so as to provide reference for the problems of education governance.