首页|基于轨迹数据挖掘的学生学习行为和成效研究

基于轨迹数据挖掘的学生学习行为和成效研究

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通过学生在线平台学习数据和课堂表现轨迹数据的采集和预处理,运用K-Means聚类算法对学生学习行为数据建模分析,探索学习行为数据和学习成效之间的联系和规律,为教师提供学生学习状态和个性化学习改进策略,帮助教师精准施教,从而进一步提升整体教学质量与效果.
Research on student learning behavior and effectiveness based on trajectory data mining
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.

trajectory data mininglearning behaviorlearning effectivenessdata analysisK-Means

王睿、吴莹莹、殷西祥

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安徽商贸职业技术学院信息与人工智能学院,芜湖 241002

菲律宾科技大学工业教育学院,菲律宾马尼拉 0900

轨迹数据挖掘 学习行为 学习成效 数据分析 K-Means

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(24)