Utilising learning analytics to support study success in higher education: a systematic review
University of Mannheim · Curtin University
Abstract
Abstract Study success includes the successful completion of a first degree in higher education to the largest extent, and the successful completion of individual learning tasks to the smallest extent. Factors affecting study success range from individual dispositions (e.g., motivation, prior academic performance) to characteristics of the educational environment (e.g., attendance, active learning, social embeddedness). Recent developments in learning analytics, which are a socio-technical data mining and analytic practice in educational contexts, show promise in enhancing study success in higher education, through the collection and analysis of data from learners, learning processes, and learning environments…
Citation impact
- FWCI
- 48.70
- Percentile
- 100%
- References
- 134
Authors
2Topics & keywords
- Learning analytics
- Attendance
- Analytics
- Computer science
- Knowledge management
- Educational technology
- Data science
- Systematic review
- Quality Education