高职学生在线学习行为评价指标体系的构建

The Construction of an Evaluation Index System for Online Learning Behavior of Higher Vocational Students

该文充分梳理国内外研究现状,科学运用德尔菲技术,对15名专家进行了2轮专家函询,问卷有效回收率均为100%,函询专家的积极系数为100%。第一轮专家函询后,一级指标重要性赋值为3.76~4.47,变异系数为0.12~0.22;二级指标重要性赋值为3.83~4.34,变异系数为0.13~0.24。第二轮专家函询后,一级指标重要性赋值为3.80~4.67,变异系数为0.13~0.20;二级指标重要性赋值为3.73~4.27,变异系数为0.12~0.22。最终构建出基于大数据的高职院校学生在线学习行为评价指标体系,由态度维度、投入行为维度、交互行为维度3个一级指标和21个二级指标构成。

This paper fully combed the current research status at home and abroad,scientifically used the Delphi technique,and conducted two rounds of expert consultation with 15 experts.The effective recovery rate of the questionnaire was 100%,and the positive coefficient of the experts was 100%.After the first round of expert consultation,the importance of the first-level indicators was 3.76~4.47,and the coefficient of variation was 0.12~0.22;the importance of the second-level indicators was 3.83~4.34,and the coefficient of variation was 0.13~0.24.After the second round of expert consultation,the importance of the first-level indicators was 3.80~4.67,and the coefficient of variation was 0.13~0.20;the importance of the second-level indicators was 3.73~4.27,and the coefficient of variation was 0.12~0.22.Finally,an online learning behavior evaluation index system for students in higher vocational colleges based on big data was constructed,which consists of three first-level indicators of attitude dimension,investment behavior dimension,and interactive behavior dimension and 21 secondlevel indicators.