Online Learning Behavior Analysis in Intelligent Learning Environment
The online teaching based on intelligent learning platforms has been receiving increasing attention,and analyzing the current situation and related factors of online learning is of great significance for improving the teaching quality.In this study,the course learning data from intelligent learning platforms were analyzed to establish four dimensions of learning behavior:learner characteristics,operational behavior,collaborative behavior,and problem-solving behavior.Principal component analysis and cluster analysis were then employed to determine the positive correlation between learning behavior and learning outcomes,classifying the learning samples into active and passive types.A comparative analysis of teaching effectiveness was conducted to compare online learning with traditional teaching across various disciplines,revealing that online learning outperformed traditional teaching in most cases.Finally,a correlation analysis between learning behavior dimensions and academic performance identified"learning time"and"frequency of learning"as the main factors influencing learning outcomes.Based on the findings,practical teaching recommen-dations can be proposed from the perspectives of both students and teachers.
万方数据
维普
