学习行为投入评测框架构建与实证研究

Construction and Empirical Study of Learning Behavioral Engagement Evaluation Framework

As the main driving force of learners’ actual performance， learning behavioral engagement has not yet formed an effective evaluation system. On the basis of exploring the nature of learning behavioral engagement， the learners’ accommodation process of information exchange activities is used to analyze the state of learning behavioral engagement. A cycle feedback loop framework on learning behavioral engagement is constructed， which covers numerous dimensions including Persistence， Reflection， Initiative and Concentration. Based on this， the evaluation framework based on education cloud platform is constructed. The analysis of exploratory factor shows that the four-factor cumulative variance interpretation rate is 64.90% and the factor loading is between 0.625 and 0.930. The result of confirmatory factor analysis shows that each fit index is good and the standardized path coefficient is between 0.60 and 0.94， and the constructive reliability is 0.949. The result of principal component regression analysis shows that the four factors have a 36% explanatory power for the learning outcomes. The analytic hierarchy process is used to establish index weights. The weights of Persistence， Reflection， Initiative and Concentration are 0.3263， 0.2121， 0.2516 and 0.2100 respectively.