Application Analysis of Artificial Intelligence Technology in the Education Industry
Wen-Hua Zhang ( Cloud Network Technology Center, Migu Culture Technology Co., Ltd., Nanjing, Jiangsu, 210026, China )
https://doi.org/10.37155/2972-483X-0301-6Abstract
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addressing issues such as conflicts with traditional educational values, disparities in teachers’ digital literacy, and outdated evaluation systems.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.
Keywords
Artificial intelligence technology; education industry; educational management; educational resource developmentFull Text
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[2] Peng Ziming, Tan Weizhi. Technological Reconstruction of Learning and Educational Responses in the Era of Generative AI. Journal of Soochow University (Educational Science Edition), 2025, 13(1): 25-34.
[3] Mou Zhijia, Yue Ting, Zhu Tao. Personalized Learning Design Based on Cognitive Intelligence Large Models from the Perspective of Human-Machine Collaboration. Research in Electrochemical Education, 2025, 46(2): 80-87.
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