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Research on Innovative Models and Practical Pathways of Education Management Driven by Artificial Intelligence

Author(s)

Xingnan Zhan, Shangjie Meng

Affiliation(s)

China International Language and Culture College, Krirk University, Bangkok 10220, Thailand

Abstract

This study focuses on exploring innovative models and practical pathways of education management driven by artificial intelligence (AI). It aims to address the limitations of traditional education management in the face of challenges such as educational expansion and diverse demands, thereby enhancing the efficiency and quality of education management. Utilizing literature review, comparative analysis, and theoretical deduction, we systematically review the integration of AI and education management both domestically and internationally. the research first conducts a comprehensive analysis of the current application of AI technologies in education, identifying advantages and potential issues. Subsequently, based on the education management process, it delves into strategies for constructing AI-driven innovative models across various dimensions, including resource allocation, student assessment, and teacher management. Furthermore, it systematically plans practical pathways for innovation, considering policy support, technological standards, and talent development. the findings indicate that AI can effectively optimize education management processes, achieving precise resource allocation and enhancing the scientific nature of student evaluations and the specificity of teacher management. the practical implementation of innovative models requires collaborative efforts, improving policy frameworks, standardizing technology applications, and strengthening professional talent cultivation to promote the intelligent transformation of education management and support the high-quality development of the education sector.

Keywords

Artificial Intelligence; Education Management; Innovative Models; Practical Pathways; Intelligent Transformation

References

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