Research on the Practical Application and Optimization Path of Artificial Intelligence in School Education Equity

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Authors: XiaoYu Zhu
Cited by: 0
References: 2

Abstract

With the rapid development of artificial intelligence technology, the digital transformation process in the field of education is accelerating, bringing new opportunities and challenges to the promotion of educational equity in schools. This study is based on the perspective of educational principles, supported by core theories such as the essence and laws of education, and focuses on the practical foundation and core practice dimensions of school education equity driven by artificial intelligence. It systematically analyzes the current difficulties in the practical process, such as value deviation, theoretical disconnection, practical shortcomings, and institutional deficiencies. On this basis, an optimized path for empowering school education equity with artificial intelligence is constructed from four aspects: anchoring the value core, deepening theoretical integration, accurately matching needs, and improving guarantee mechanisms. The aim is to achieve the organic unity of technological empowerment and the essence of education, enhance the efficiency of promoting school education equity, and provide theoretical reference and practical guidance for the high-quality development of education in the new era.

Fields of Study & Subjects

Artificial Intelligence in Education Educational Technology and Pedagogy Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Frontiers in Public Management
Volume
1
Issue
2
Pages
1–1
Publication date
26 February 2026
Language
EN