Application Analysis of Artificial Intelligence Technology in the Education Industry

With the rapid advancement of artificial intelligence (AI) technology, its application in the field of education has gradually deepened, exerting a profound impact on teaching models, learning support, educational management, and resource allocation. This paper examines the current state of AI application across four dimensions: instructional assistance, personalized learning, educational administration, and resource development. It analyzes practical challenges in areas such as technological compatibility, conceptual transformation, and ethical risks. The study highlights that the integration of AI and education must overcome limitations in data collection, algorithmic opacity, and system silos, while also addressing issues such as conflicts with traditional educational values, disparities in teachers’ digital literacy, and outdated evaluation systems. Based on these insights, the paper proposes coordinated strategies across technological development, educational practice, and social ethics, aiming to provide guidance for building an education ecosystem that balances technological empowerment with humanistic care, and to promote the rational application and deep integration of AI technology in educational settings.