基于教育大数据的学生学习行为预测分析平台的构建与实现

在"数据驱动学校,分析变革教育"的新时代背景下,学校各种教育数据纷繁复杂且结构混乱,难以靠单一数据预测到学生学习行为。结合大数据平台,构建学生学习行为指标体系,采用聚类分析算法,梳理、整合相互联系又相互独立的教育数据,预测学生学习行为,对全面了解和预测学生在校学习行为,全面提升学校教育管理和教学质量监控能力有重要意义。

Under the background of the new era of"data driven school,analysis and reform education",various educational data of schools are complex and disordered,so it is difficult to predict students’learning behavior by single data.Combining with the big data platform,constructing the index system of students’learning behavior,using cluster analysis algorithm to sort out and integrate the interrelated and independent educational data to predict students’learning behavior is of great significance to comprehensively understand and predict students’learning behavior in school,and comprehensively improve the ability of school education management and teaching quality monitoring.