大型教育数据集

本数据集名为‘大型教育数据集’，由Playpower Labs和亚利桑那州立大学创建，包含超过8亿次互动记录，涉及300多万匿名学生在在线学习平台上的学习过程。数据集详细记录了学生的登录、活动开启、进度保存等事件，特别关注了三年级数学课程的学习路径。创建过程中，研究者采用了序列聚类算法和图挖掘技术，以揭示学生学习活动的频繁路径。该数据集主要用于分析和优化教育产品、学校及个人学习路径，以提升教育质量和效率。

This dataset, titled "Large Educational Dataset", was co-developed by Playpower Labs and Arizona State University. It contains over 800 million interaction records documenting the learning processes of more than 3 million anonymous students on online learning platforms. The dataset comprehensively records various student events such as logins, activity launches, progress saves and others, with a particular focus on the learning pathways of third-grade mathematics courses. During its development, researchers adopted sequence clustering algorithms and graph mining techniques to uncover the frequent pathways of student learning activities. This dataset is primarily used for analyzing and optimizing educational products, school-based and individual learning pathways to improve educational quality and efficiency.