Online Learning and Analytics
Online Learning and Analytics is a research topic within Computer Science Applications. Science Explorer counts 45k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.
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.
- Educational Data Mining
- Learning Analytics
- Massive Open Online Courses
- Predictive Analysis
- Student Engagement
- Machine Learning
- MOOCs
- Online Learning
- Data-driven Education
- Student Performance Prediction
- Research works
- 45k fractional, since 1950
- In the world top 10%
- 4.5k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +92% the tick is no change
- Largest producer
China
25% of the 10 largest, 2022-now
Discussion
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