Global Education Reform Driven by Intelligent Technology: Integration of Artificial Intelligence, Teaching Reconstruction and Fair Governance

Abstract

Based on the global development trends of smart education in 2025, this article systematically analyzes the educational transformation path, practical predicaments and governance paradigms driven by artificial intelligence technology. Research shows that the deep integration of AI and education and teaching is promoting the formation of a "teacher-student-machine" trinity collaborative model, achieving breakthroughs in personalized courses, intelligent management, and comprehensive evaluation. However, it also faces core issues such as insufficient adaptability of teachers, lack of technical ethics, and challenges to educational equity. This article proposes that to build a "people-oriented" intelligent education ecosystem, the goal of high-quality education development should be achieved through the development of low-threshold technologies, the cultivation of teachers' intelligent literacy, the establishment of a flexible governance framework, and the promotion of evidence-based teaching practices. The research integrates comprehensive policy analysis, case comparisons and empirical data to provide theoretical references and practical paths for the global digitalization strategy of education.