Fan Zhongtao, Liu Jun
School of Education, Shaanxi Normal University, Xi'an, China.
School of Education, Weinan Normal University, Weinan, China.
Front Psychol. 2022 May 20;13:905029. doi: 10.3389/fpsyg.2022.905029. eCollection 2022.
Teachers' teaching psychological behavior and classroom development are the current research hotspots in the field of educational psychology. How to realize the data analysis of teachers' teaching psychological behavior and classroom development is a problem that researchers urgently need to solve. Based on the theory of data correlation analysis, this paper uses modern Internet technology and big data analysis teacher teaching system to quantitatively and qualitatively analyze the potential of students, and build a corresponding model. Through rule correlation technology, the article studies various internal correlations between teachers' teaching psychological behavior, extracts valuable information from various daily data of students through big data analysis technology, and the WEB teacher's teaching psychological behavior analysis system based on B/S structure solves the problem that the traditional model cannot measure. In the simulation process, the system is implemented by MVC three-tier architecture, the database uses MYSQL 5.0, the prediction questionnaire is formulated on the basis of the literature method and interviews, and the scale is compiled and tested after repeated revisions. Project analysis and factor analysis are performed on the data obtained from the table test to construct and screen indicators. The experimental results show that the teacher's classroom teaching behavior index system adopted by the system is practical and feasible, including three first-level indicators, 10 s-level indicators, and 21 third-level indicators. The system has 87.1% completeness, which effectively improves teachers' teaching psychology.
教师教学心理行为与课堂发展是当前教育心理学领域的研究热点。如何实现对教师教学心理行为与课堂发展的数据分析是研究人员亟待解决的问题。基于数据相关性分析理论，本文利用现代互联网技术和大数据分析教师教学系统，对学生潜力进行定量和定性分析，并构建相应模型。通过规则关联技术，研究教师教学心理行为之间的各种内在关联，利用大数据分析技术从学生的各类日常数据中提取有价值信息，基于B/S结构的WEB教师教学心理行为分析系统解决了传统模型无法衡量的问题。在模拟过程中，系统采用MVC三层架构实现，数据库使用MYSQL 5.0，预测问卷在文献法和访谈的基础上制定，经反复修订后进行量表编制与测试。对量表测试所得数据进行项目分析和因素分析以构建和筛选指标。实验结果表明，该系统采用的教师课堂教学行为指标体系实用可行，包括3个一级指标、10个二级指标和21个三级指标。该系统具有87.1%的完整性，有效改善了教师的教学心理。
