Predicting Students' Behavior During an E-Learning Course Using Data Mining.
Kadri UmblejaManabu IchinoPublished in: ICL (2) (2016)
Keyphrases
- data mining
- student learning
- learning experience
- learning environment
- e learning
- learning outcomes
- higher education
- learning styles
- affective states
- knowledge discovery
- online course
- collaborative learning
- learning activities
- college students
- distance learning
- data mining algorithms
- data mining applications
- mobile learning
- middle school students
- data analysis
- association rules
- high school students
- high school
- data mining techniques
- grounded theory
- undergraduate students
- students learning
- intelligent tutoring systems
- science learning
- graduate students
- distance education
- information technology
- association rule mining
- open ended
- programming course
- computer science students
- university level
- student engagement
- computer science
- learning process
- business intelligence
- secondary school
- statistically significant
- web mining
- science education
- problem based learning
- data mining tasks