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小学智慧课堂师生互动行为与学习风格的交互效应OA

Interaction Effects of Teacher-Student Interaction Behaviors and Learning Styles in Primary School Intelligent Classrooms

中文摘要英文摘要

学习风格影响学习者的互动行为和内容偏好,对学习效果具有重要影响.师生互动行为与学习风格存在紧密联系,深入探究其交互效应对于实施精准教学干预、构建适应性学习课堂尤为重要.为此,文章以 180 节小学课堂教学视频为样本,采用随机森林算法识别师生互动行为与学习风格的交互效应特征,并结合社会网络分析揭示其交互网络关系,开展了小学"对话型"智慧课堂师生互动行为与学习风格交互效应的实证研究,结果发现:不同"行为-风格"组合的交互效应值存在明显差异,其中哲理型学习风格相关的多个交互效应值较高;小学"对话型"智慧课堂中的师生互动行为与学习风格并非均衡分布且其交互网络并非随机连接,而是共现于由学习风格、互动行为和社会网络交织构成的三维关联网络;交互网络呈现出较为清晰的社区分化特征,形成了理论讨论取向与实践转化取向并存但整体连接有限的网络结构.在此基础上,文章从提问反馈、实践转化、技术支持三个角度提出教学适配策略.文章的研究有助于识别不同学习风格学生的互动需求,可为教师优化课堂互动设计和开展差异化支持提供依据,并推动智慧课堂教学从经验判断转向数据驱动.

Learning styles influence learners'interaction behaviors and content preferences,and also have a significant impact on learning outcomes.There is a close connection between teacher-student interaction behaviors and learning styles,and in-depth exploration of their interaction effects is particularly important for implementing precise teaching interventions and constructing adaptive learning classrooms.Therefore,this paper took 180 teaching videos in primary school classroom as samples,applied the random forest algorithm to identify the interaction effect characteristics between teacher-student interaction behaviors and learning styles,and combined social network analysis to reveal their interaction network relationships.An empirical study was conducted on the interaction effects of teacher-student interaction behaviors and learning styles in"dialogue-based"smart classrooms in primary school.The results showed that the interaction effect values varied significantly across different"behavior-style"combinations,with the values of multiple interaction effect associated with philosophical learning style being relatively high.In such"dialogue-based"smart classrooms in primary school,teacher-student interaction behaviors and learning styles were not evenly distributed,nor were the interaction networks randomly connected,they were embedded within a three-dimensional relational network formed by learning styles,interaction behaviors,and social networks.The interaction network showed clear community differentiation,forming a network structure featuring both theoretical discussion orientation and practical transformation orientation coexisting,but with limited overall connectivity.Accordingly,this paper proposed the teaching adaptation strategies from three perspectives of questioning and feedback,practical transformation,and technical support.The research in this paper helped identify the interaction needs of students with different learning styles,provide reference for teachers to optimize classroom interaction design and deliver differentiated support,and promote the transformation of smart classroom teaching from experience-based judgment to data-driven improvement.

吴宏超;应美金;张林静

华南师范大学 教育评价中心,广东 广州 510631华南师范大学 教育评价中心,广东 广州 510631广东省教育研究院 基础教育质量监测中心,广东 广州 510035

社会科学

智慧课堂互动行为学习风格随机森林算法社会网络分析

intelligent classroomsinteraction behaviorlearning stylerandom forest algorithmsocial network analysis

《现代教育技术》 2026 (6)

74-83,10

本文为2025年度广东省教育科学规划中小学教师教育科研能力提升计划项目重点项目"数字化评价赋能课堂教学转型提质研究"(项目编号:2025ZQJK647)的阶段性研究成果.

10.3969/j.issn.1009-8097.2026.06.008

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