Integration of Multiple Data Sources for predicting the Engagement of Students in Practical Activities.
Llanos TobarraSalvador RosRoberto HernándezAntonio Robles-GómezAgustín C. CamineroRafael Pastor VargasPublished in: Int. J. Interact. Multim. Artif. Intell. (2014)
Keyphrases
- multiple data sources
- data integration
- learning environment
- data sources
- heterogeneous data sources
- student engagement
- cognitive engagement
- multi source
- learning scenarios
- student learning
- lifelong learning
- databases
- collaborative activities
- learning gains
- learning outcomes
- active participation
- face to face interactions
- learning opportunities
- learning activities
- e learning
- young students
- multiple sources
- student participation
- real world
- higher education
- learning experience
- learning styles
- information integration
- learning process
- game mechanics
- computer science education
- collaborative learning
- heterogeneous sources
- data warehouse
- digital games
- intelligent systems
- data management
- data model
- programming course
- social networks
- computer supported collaborative learning