Transforming Education: How AI ‐Assisted Classroom Management Tools Shape Personalized Teaching, Teacher–Student Interactions, and Teachers' Engagement—A Time‐Series Analysis Approach

转化式学习 社会文化进化 适应性 心理学 结构方程建模 扎根理论 数学教育 实证研究 包裹体(矿物) 教育学 学生参与度 知识管理 计算机科学 课堂管理 技术集成 教学方法 灵活性(工程) 教育技术 混合学习 个性化学习 高等教育 学习管理 动力学(音乐) 学业成绩 定性研究 个性化 经验证据 概念框架
作者
Huiting Zhang,Xiaochen Liu
出处
期刊:European Journal of Education [Wiley]
卷期号:61 (2) 被引量:1
标识
DOI:10.1111/ejed.70607
摘要

ABSTRACT The integration of Artificial Intelligence (AI) into educational settings has transformed traditional classroom management, yet there is a need to understand how these tools dynamically influence teaching practices and student outcomes over time. While prior research has established the benefits of smart classrooms, a gap remains in examining the longitudinal relationships between AI‐assisted management, personalized teaching, and student engagement within a unified structural model. Grounded in Sociocultural Theory and Self‐Determination Theory, this study investigates the evolving role of AI‐assisted classroom management tools in shaping personalized teaching, enhancing teacher–student interactions, and fostering student engagement through a time‐series analysis. Drawing on data from 406 in‐service English language teachers in Hefei and Handan, China, the research employs structural equation modelling using AMOS to examine the role of AI integration. The results reveal that AI tools significantly improve instructional strategies and personalized teaching, enabling educators to better address individual student needs and cultivate stronger classroom relationships. These improvements in teacher–student interactions are positively associated with increased student motivation and engagement. Time‐series analyses further reveal that the relationship between AI tools and educational outcomes becomes increasingly robust over time, with teaching adaptability and student results showing consistent positive associations as AI familiarity grows. This study contributes to the literature by providing empirical evidence on the temporal dynamics of AI integration, highlighting its potential as a transformative mediator in the classroom. The study was conducted ethically, with informed consent obtained from all participants, and findings underscore the importance of sustained and strategic AI integration to enhance pedagogical practices and learner engagement.
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