Online Learning and Analytics
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Scope of this subject
This cluster of papers focuses on the application of educational data mining and learning analytics in the context of online education, particularly Massive Open Online Courses (MOOCs). It explores topics such as predictive analysis of student performance, machine learning techniques for student engagement, and the impact of data-driven education on online learning. The cluster also delves into the challenges and opportunities associated with implementing learning analytics in higher education.
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Research vocabulary
learning analytics; MOOCs; student performance prediction; educational data mining; massive open online courses; student dropout prediction; learning analytics dashboards; Coursera; big data in education; MOOC platforms; course completion; educational data analysis; MOOC design; educational analytics; edX; student behavior analysis; student performance analysis; machine learning in education; student graduation prediction; multimodal learning analytics; grade prediction; learner behavior; online learning behavior; student failure prediction; learning outcome prediction
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No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36174792768504019 · morton4x16-v1
Coordinates: (3, 17, 1706, 11122). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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