| 注册
首页|期刊导航|现代教育技术|基于课堂评估计分系统的双模态课堂氛围识别

基于课堂评估计分系统的双模态课堂氛围识别

魏艳涛 王鑫茹 赵忠锦 徐琦 潘东辉

现代教育技术2026,Vol.36Issue(6):95-103,9.
现代教育技术2026,Vol.36Issue(6):95-103,9.DOI:10.3969/j.issn.1009-8097.2026.06.010

基于课堂评估计分系统的双模态课堂氛围识别

Bimodal Classroom Atmosphere Recognition Based on the Classroom Assessment Scoring System

魏艳涛 1王鑫茹 1赵忠锦 1徐琦 1潘东辉2

作者信息

  • 1. 华中师范大学 数字教育湖北省重点实验室,湖北 武汉 430079||华中师范大学 人工智能教育学部,湖北 武汉 430079
  • 2. 安徽大学 数学科学学院,安徽 合肥 230039
  • 折叠

摘要

Abstract

The classroom atmosphere is an important factor affecting classroom learning experience,participation and teaching effectiveness.Accurate recognition of classroom atmosphere is vital for optimizing classroom teaching and promoting cognitive development.However,current classroom atmosphere recognition suffers from limitations such as one-sided representational dimensions and single data modality,which makes the existing research results difficult to directly serve classroom teaching practice.Therefore,a bimodal classroom atmosphere recognition method based on the classroom assessment scoring system was proposed in this paper:firstly,label according to classroom atmosphere indicators;then,use temporal-aware bi-directional multi-scale network integrated with multi-head self-attention and the video sliding window transformer model to conduct single-modal classroom atmosphere recognition based on audio data and based on video data,respectively;finally,adopt the random forest algorithm for dual-modal classroom atmosphere recognition to determine the classroom atmosphere level.Through a series of comparative experiments,this paper found out that the performance of classroom atmosphere recognition by integrating bimodal data was superior to that of single-modal data,and the disciplinary characteristic was an important influencing factor for classroom atmosphere recognition,and concluded that a multi-dimensional structure can more precisely represent classroom atmosphere,and bimodal data support can more accurately predict classroom atmosphere.The research in this paper can provide effective technical support for precise teaching diagnosis,and hold significant value for optimizing classroom teaching practice.

关键词

课堂氛围/双模态/课堂评估/深度学习

Key words

classroom atmosphere/bimodal/classroom assessment/deep learning

分类

社会科学

引用本文复制引用

魏艳涛,王鑫茹,赵忠锦,徐琦,潘东辉..基于课堂评估计分系统的双模态课堂氛围识别[J].现代教育技术,2026,36(6):95-103,9.

基金项目

本文受2023年度国家自然科学基金"面向同步直播课堂的可解释学习投入自动评测方法研究"(项目编号:62277029)、2024年度数字教育湖北省重点实验室开放基金"基于大模型的中小学教师课堂教学实施能力智能评测方法研究"(项目编号:No.F2024K04)、2025年度中央高校基本科研业务费专项资金项目"教育多智能体系统中学习投入生成式评测研究"(项目编号:CCNU25ai004)资助. (项目编号:62277029)

现代教育技术

1009-8097

访问量0
|
下载量0
段落导航相关论文