学习分析视角下在线学习干预模型应用*

An Empirical Study of Online Learning Intervention from the Perspective of Learning Analytics

基于传统RTI模式构建的在线学习干预模型,是一个循环迭代的干预模型。该模型主要包括五个要素:筛选、监控、多层次干预、决策和分析。研究者利用学习分析技术将在线学习行为数据加以筛选和分析,及时预测可能出现学习风险的学习者从而提供适当的学习干预。该模型的特点:第一,突破现有的以传统课堂环境为背景的学习干预研究,将学习干预模型应用于在线学习的真实情境;第二,从学习分析的视角逐步明确和细化学习干预的方法、过程和策略并借助技术工具实施可操作且有效的干预措施;第三,通过问卷调查、SPSS和个别访谈的方法,从学习者的角度对在线学习干预模型的有效性进行了评估。模型实验结果表明,在线学习干预模型的应用效果较好,实验对象的学习结果与模型预测的结论较为一致,且被干预的学习者能够适应干预策略和措施,有效地规避了学习风险。

An online learning intervention model is designed based on the traditional Response-to-Intervention model.It is a cyclic and iterative intervention model with five elements,which include screening,monitoring,multi-level intervening,decision-making and analyzing.Researchers use learning analytics technology to screen and analyze online learning behavior,and to predict learners who may have learning risks in time so as to provide appropriate learning interventions.The model mainly has three different features.Firstly,it breaks through the existing learning intervention research based on traditional classroom environment,and applies the learning intervention model into the real situation of online learning.Secondly,it gradually defines and refines the methods,processes and strategies of learning intervention from the perspective of learning analytics,and it implements workable and effective interventions with technical tools.Thirdly,the effectiveness of the online learning intervention model is evaluated from the learners’point of view through questionnaires,SPSS and individual interviews.The results of analysis and survey data show that the application effect of online learning interventionmodel is good,and the learning outcome of experimental subjects is consistent with the predictive conclusions from the model.In addition,the learners can adapt themselves to the intervention strategies and measures,and hence to effectively avoid learning risk.