创新创业理论研究与实践 ›› 2020, Vol. 3 ›› Issue (15): 173-175.

• 创新方法 • 上一篇    下一篇

基于MOOC大数据的学习分析——以智慧树平台《现代教育技术》课程为例

张亚珍, 黄莉, 刘梦颖   

  1. 九江学院 教师教育学院,江西九江 332005
  • 出版日期:2020-08-10 发布日期:2021-03-17
  • 作者简介:张亚珍(1982-),女,江西九江人,硕士,副教授,研究方向:信息化教学设计、数字化教学资源设计与开发。
  • 基金资助:
    江西省十三五教育科学规划课题(基于SPOC+数字化教学资源平台的大学课堂混合式教学应用研究,编号:18YB241)

Learning Analytics based on Big Date by MOOC Taking the Course the Modern Educational Technology on Wisdom Tree Platform for an Example

ZHANG Yazhen, HUANG Li, LIU Mengying   

  1. School of Teacher Education JiuJiang University, Jiujiang Jiangxi,332005,China
  • Online:2020-08-10 Published:2021-03-17

摘要: “数据驱动学习,分析变革教育”的大数据时代已经来临,大数据学习分析技术的应用为在线学习提供了新的发展契机。以智慧树平台《现代教育技术》课程为例,对智慧树平台上学习者在学习过程中的人流量、视频观看、见面课、讨论和考试等数据进行分析,探索MOOC课程通过率、学习人流量与学习者行为之间的关系,总结 MOOC 课程学习者行为特点,并从学习分析、课程设计提出MOOC课程优化建议。

关键词: MOOC, 大数据, 学习分析

Abstract: The big data era of “data-driven learning and analysis revolutionizing education” has come. The application of big data learning analysis technology provides a new development opportunity for online learning. Taking the course Modern Educational Technology on Wisdom Tree Platform for an example. By analyzing diverse data in the online learning process, including learner's flow, video viewing, meeting class, discussion and exams and ect, this paper explores the relationship among the MOOC exams passing rate, learner’s flow and learner’s behaviors, and summarizes the characteristics of MOOC course learners' behaviors, then puts forward some suggestions for optimization from the aspects of learning analysis and curriculum design.

Key words: MOOC, Big data, Learning analysis

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