Scholarlink

This study addresses the prevalent challenge of high dropout rates in Massive Open Online Courses (MOOCs) by leveraging learning analytics for the early identification of at-risk students. Drawing upon Fredricks’s engagement model, which posits student engagement as a critical determinant of learning success, this research analyzes comprehensive data from the “Statistical Learning4” course offered on Stanford’s Lagunita platform during Winter 2015 and Winter 2016. The rich dataset, capturing detailed student interactions within the MOOC environment, enables an in-depth investigation of behavioral patterns associated with disengagement and dropout. By employing advanced analytical techniques, this study aims to develop predictive models capable of identifying at-risk students early in their enrollment, facilitating timely interventions designed to improve retention and ultimately contribute to greater success in MOOC-based learning.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Early Prediction of Student Dropout in MOOCs

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Brahim Hmedna,
  • Aicha Bakki,
  • Ali El Mezouary,
  • Kaoutar Boumalek,
  • Ibtissam Zaaj

摘要

This study addresses the prevalent challenge of high dropout rates in Massive Open Online Courses (MOOCs) by leveraging learning analytics for the early identification of at-risk students. Drawing upon Fredricks’s engagement model, which posits student engagement as a critical determinant of learning success, this research analyzes comprehensive data from the “Statistical Learning4” course offered on Stanford’s Lagunita platform during Winter 2015 and Winter 2016. The rich dataset, capturing detailed student interactions within the MOOC environment, enables an in-depth investigation of behavioral patterns associated with disengagement and dropout. By employing advanced analytical techniques, this study aims to develop predictive models capable of identifying at-risk students early in their enrollment, facilitating timely interventions designed to improve retention and ultimately contribute to greater success in MOOC-based learning.