基于大数据技术在线学习过程行为分析框架设计

Design of Online Learning Process Behavior Analysis Frame Based on Big Data Technology

针对国内外中等规模以上的在线学习平台课程完成率低、用户流失严重的现象,分析了在线学习过程中影响学习效果提升的关联因素。基于大数据技术,构建了在线学习过程行为分析模型总体框架和数据模型,依据行为科学和人工智能理论,完成了对在线学习行为的聚类分析和关联分析。最终,给出了个性化学习资源和教学策略的推荐,有效提高了在线课程资源的利用率和学习效果。

In view of the low completion rate and the serious loss of users on online learning platform at home and abroad,we analyzed the related factors that influence the effectiveness of online learning. Based on big data technology,we constructed an overall framework of online learning analysis model and data model,on the basis of behavioral science and artificial intelligence theory,completed cluster analysis and association analysis of online learning behaviors, recommended personalized learning resources and teaching strategies, which effectively improved the utilization of online curriculum resources and learning results.