This study involves the collection and preprocessing of students' online learning data and classroom performance trajectory data.By applying the K-Means clustering algorithm to model and analyze student learning behavior data,it explores the connections and patterns between learning behavior data and learning outcomes.The findings provide teachers with insights into students' learning states and personalized learning improvement strategies,aiding in precise teaching and thereby enhancing the overall quality and effectiveness of education.
关键词
轨迹数据挖掘/学习行为/学习成效/数据分析/K-Means
Key words
trajectory data mining/learning behavior/learning effectiveness/data analysis/K-Means
万方数据