基于在线学习行为分析的在线教学设计优化研究  

Research on Optimization of Online Teaching Design Based on Online Learning Behavior Analysis

作　　者：陆丽园 刘赣洪 王润花 LU Liyuan;LIU Ganhong;WANG Runhua(College of Education,Zhejiang Normal University,Jinhua 321004,China;School of Journalism and Communication,Jiangxi Normal University,Nanchang 330022,China)

机构地区：[1]浙江师范大学教育学院,浙江金华321004 [2]江西师范大学新闻与传播学院,江西南昌330022

出　　处：《现代信息科技》2024年第6期173-177,共5页Modern Information Technology

摘　　要：为了更好地提高在线教育的教学质量,分析在线学习行为进而优化在线教学设计有着重要意义。文章运用内容分析法对某高校193名学习者的在线学习日志进行分析,借助ROST CM 6.0进行词频和语义网络分析。分析结果表明:在线学习者较多关注学习体验与共情感悟,学习过程的互动设计利于学习者发生群体归属感,较多学习者愿意主动利用资源进行自主学习,学习者更多关注教师的反馈与评价,适度激励有利于学习行为持续、正向发展。建议在线教学设计从创设在线学习情境、丰富在线学习资源、创设良好课堂互动、文本激励适度投放等方面入手,从而提高在线教育质量。In order to better improve the teaching quality of online education,it is of great significance to optimize online teaching design by analyzing online learning behavior.This paper uses content analysis method to analyze the online learning logs of 193 learners in a university,and uses ROST CM6.0 to analyze word frequency and semantic network.The results show that online learners pay more attention to learning experience and common emotional understanding,the interactive design of the learning process is conducive to the learners'sense of group belonging,more learners are willing to take the initiative to use resources for autonomous learning,learners pay more attention to teachers'feedback and evaluation,and moderate incentives are conducive to the continuous and positive development of learning behavior.It is suggested that online teaching design should start from the aspects of creating online learning situation,enriching online learning resources,creating good classroom interaction,and text incentive to improve the quality of online education.

关 键 词：在线学习行为 学习日志 文本分析 教学设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] G434[自动化与计算机技术—计算机科学与技术]