Investigating effects of considering mobile and desktop learning data on predictive power of learning management system (LMS) features on student success.
Varshita SherMarek HatalaDragan GasevicPublished in: EDM (2019)
Keyphrases
- predictive power
- learning management systems
- learning process
- data sets
- data analysis
- prediction accuracy
- student success
- learning algorithm
- database
- learning systems
- blended learning
- e learning
- learning styles
- online learning
- data mining techniques
- mobile devices
- higher education
- knowledge discovery
- effective learning
- educational environment
- data points
- error rate
- active learning
- data mining algorithms
- learning processes
- learning objects