Region - Educational Research and Reviews

Breakthrough iterations of generative artificial intelligence (AI) and big data technologies have transformed AI from a marginal teaching auxiliary tool into a fundamental driving force for systemic educational reform, breaking the limitations of traditional homogenized and experience-oriented educational models. AI-enabled education is not a simple superposition of technology and education, but a systematic reconstruction of teaching procedures, teacher-student relationships, educational evaluation and talent cultivation paradigms based on multidisciplinary theories including pedagogy, philosophy of technology and cognitive science. This study comprehensively elaborates the underlying theoretical logic and educational value of AI empowering education, analyzes comprehensive practical dilemmas arising from the integration of technology and education, and proposes integrated solutions tailored to the national context of China's educational digital transformation. Moving beyond fragmented research perspectives, this paper adopts three overarching core modules to construct the overall framework, clarifies the fundamental academic principles of AI-education integration, and addresses the prevalent dilemma of overprioritizing technology at the expense of educational essence in current educational digitalization practices. It provides systematic theoretical support and practical guidance for the long-term implementation of human-machine collaborative education.