基于深度学习的体育慕课教学诊断与优化

摘要：

教育数字化转型与全民学习型社会建设深人推进，为体育在线课程的智慧化发展提供了重要契机.运用文本挖掘法、案例分析法等研究方法，从学习者视角切入，对中国大学慕课平台185门体育慕课课程的学习者评论数据进行了深入挖掘，探讨卷积神经网络-循环神经网络混合模型进行情感分析，聚焦负向评论进行教学诊断;构建潜在狄利克雷分布主题分析模型，精准拆解问题剖析致因;提出针对性解决方案并明确各路径的解决成效.研究发现体育慕课核心短板与教学痛点:1)课程设置与学习者需求错位;2)课程分类与检索粗放;3)课程内容静态化与窄化;4)教学与考核机制脱节;5)反馈支持体系不完善.因此，提出基于情感主题分析的教学表达与呈现优化;基于主题与情感标签的课程内容智能适配;融合具身认知的实践教学环节创设;基于多模态数据的个性化学习支持与情感干预.

The deepening advancement of educational digital transformation and the construction of a lifelong leaming society have provided signilicant opportunities for the intelligent development of online physica education courses. Employing research methods such as text mining and case analysis. this study adopts a learner-centered perspective, conducting an in-depth mining of learner review data from 185 sports MOOC courses on the Chinese university MOOC platform. It employs a CNN-RNN hybrid model for sentiment analysis, focusing on negative reviews for instructional diagnosis, and constructs an LDA(latent Dirichlet allocation) topic analysis model to accurately deconstruct problems and analyze their causes. Targeted solutions are proposed, along with an evaluation of the effectiveness of cach approach. The research identifies shortcomings and teaching challenges in sports MOOCs: 1) misalignment between course design and learner needs; 2) crude course clasification and retrieval systems; 3) static and narrow course content; 4) disconnection between teaching and assessment mechanisms; and 5)an inadequate feedback and support system. Accordingly, Optimizing Teaching Expression and Presentation Based on Senti-ment-Topic Analysis; Inteligent Adaptation of Course Content Based on Topic and Sentiment Labels: Designing Practical Teaching Segments Integra ting Embodied Cognition; Personalized Learning Support and Emotional Intervention Based on Multimodal Data are proposed in the study.

作者：

闫丽敏，张丽，韩改玲

Yan Limin,Zhang Li, Han Gailing

机构地区：

河南师范大学a.体育学院；b.中原体育文化传承与发展中心

引用本文：

闫丽敏，张丽，韩改玲。基于深度学习的体育慕课教学诊断与优化[J].河南师范大学学报(自然科学版).2026,54(5):83-89. (Yan Limin,Zhang Li.Han Gailing.An approach to instructional diagnosis and optimization of sports MOOCs based on deep learning[J].Journal of Henan Normal University(Natural Science Edition),2026,54(5):83-89.DOI:10.16366/j.cnki.1000-2367.2026.02.08.0001.)

基金：

国家社会科学基金

关键词：

体育慕课；学习者评论；文本挖掘；教学诊断；精准优化；卷积神经网络；循环神经网络；潜在狄利克雷分布

sports MOOCs; learner reviews; text mining: teaching diagnosis; targeted optimization; CNN; RNN;LDA

分类号：

G807.4

基于深度学习的体育慕课教学诊断与优化.pdf