基于大数据分析的在线教学有效性提升策略与实施路径

Strategies and Implementation Paths for Improving the Effectiveness of Online Teaching based on Big Data Analysis

在线教学打破了时间空间的限制,实现了人力物力的优化,是疫情时期和后疫情时代各类教育教学的重要组成部分。针对如何提高在线教学有效性这个当下急需解决的问题,设计了在学习者状态有效识别基础上进行有效教学目标设定、有效教学内容推送、有效教学方法实施和有效教学干预的在线教学模式,以职教云教学平台为例,构建了基于课前、课中、课后数据分析的有效在线教学模式实施路径,为提高在线教育质量提供理论和实践参考。

Online teaching breaks the limitation of time,space and region,realizes the optimization of human and material resources,and is an important part of various kinds of education and teaching in the epidemic period and post epidemic era.Aiming at the problem of how to improve the effectiveness of online teaching,this paper proposes an online teaching mode based on big data analysis.By using big data technology and learning analysis technology,it designs an online teaching mode based on effective recognition of learners’state,which includes effective teaching goal setting,effective teaching content pushing,effective teaching method implementation and effective teaching intervention.Taking the vocational education cloud teaching platform as an example,this paper constructs an effective online teaching mode implementation path based on data analysis before,during and after class,which provides theoretical and practical reference for improving the quality of online education.