中国高校慕课课程多维画像与学习行为脱敏样本数据集（2024–2025）

本数据集来源于国内多所高校在公开慕课平台上发布的课程元数据及配套教学行为明细的抽样整理，已在脱敏与聚合处理中去除可直接识别个人身份的信息，仅保留课程编号、学校与院系层级标识、教师公开署名、选课规模、开课周期等字段，以及学习者匿名 ID、会话标识、行为类型（如视频学习、测验提交、作业提交、讨论浏览、资源下载、课程评价等）、章节与资源编码、发生时间、学习时长、进度变化、测验与作业得分及是否通过、终端与网络环境、满意度评分等，用于支撑学习投入度分析、过程性评价、课程质量监测与教学改进研究。时间跨度覆盖多个学期，课程涵盖理工、人文、经管及通识等多学科门类，记录规模达数千条量级，适合用于教育数据挖掘、可视化大屏与预测类算法的实验与教学演示。使用本数据集须遵守学术规范与平台协议，禁止用于商业再识别与歧视性用途。

This dataset is compiled from sampled and curated course metadata and detailed accompanying teaching behavioral records published by multiple domestic universities on public MOOC platforms. All directly personally identifiable information has been removed via anonymization and aggregation processing, with only the following fields retained: course identification numbers, school and department-level identifiers, publicly attributed instructors, course enrollment scale, course cycle, and other relevant fields. Also included are anonymous learner IDs, session identifiers, behavior types (e.g., video learning, quiz submission, assignment submission, discussion browsing, resource download, course evaluation, etc.), chapter and resource codes, occurrence timestamps, study duration, progress changes, quiz and assignment scores and pass/fail status, terminal and network environments, satisfaction ratings, etc. This dataset is designed to support research on learning engagement analysis, formative assessment, course quality monitoring, and teaching improvement. The dataset spans multiple semesters, with courses covering diverse disciplines including science and engineering, humanities, economics and management, general education, and more. The total number of records reaches the thousands order of magnitude, making it suitable for experiments and teaching demonstrations of educational data mining, visualization dashboards, and predictive algorithms. Users of this dataset must comply with academic norms and platform usage agreements, and commercial re-identification and discriminatory uses are strictly prohibited.

搜集汇总

背景与挑战

背景概述

该数据集包含2024-2025年间国内多所高校在慕课平台上的课程元数据与学习行为脱敏样本，涵盖课程基本信息及匿名学习者的行为记录。数据经过处理去除个人身份信息，适用于教育数据挖掘、可视化分析和预测算法研究。