Research on the Mechanism of AI Empowering the Improvement of Educational and Teaching Quality
Research Article
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Research on the Mechanism of AI Empowering the Improvement of Educational and Teaching Quality

Yan Xu 1*
1 Wuhan University of Engineering Science
*Corresponding author: xyyanxu@163.com
Published on 2 October 2025
Journal Cover
LNEP Vol.123
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-401-4
ISBN (Online): 978-1-80590-402-1
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Abstract

With the deep integration of artificial intelligence (AI) with education, its role in enhancing educational quality is receiving increasing attention. This paper focuses on the mechanisms through which AI contributes to educational improvement, systematically analyzes the current status and associated challenges, and proposes implementation strategies in combination with domestic and foreign research and practical cases. The research shows that AI technology can effectively enhance educational quality in multiple dimensions, including personalized learning path design, intelligent teaching resource development, teacher role transformation and professional development, intelligent teaching management, and integrated school management. To fully realize the potential of AI in education, efforts should be made in areas such as updating educational concepts, standardizing technical standards, delving into the value of data, and strengthening professional support systems. These strategies can help build an intelligent, efficient educational system and driive comprehensive improvements in teaching and learning quality.

Keywords:

Artificial intelligence, teaching and education quality, personalized learning, intelligent teaching resources, intelligent education management

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Xu,Y. (2025). Research on the Mechanism of AI Empowering the Improvement of Educational and Teaching Quality. Lecture Notes in Education Psychology and Public Media,123,58-64.

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Cite this article

Xu,Y. (2025). Research on the Mechanism of AI Empowering the Improvement of Educational and Teaching Quality. Lecture Notes in Education Psychology and Public Media,123,58-64.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICILLP 2025 Symposium: Psychological Perspectives on Teacher-Student Relationships in Educational Contexts

ISBN: 978-1-80590-401-4(Print) / 978-1-80590-402-1(Online)
Editor: Renuka Thakore, Abdullah Laghari
Conference date: 17 October 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.123
ISSN: 2753-7048(Print) / 2753-7056(Online)