Clustering Techniques to Identify Low-engagement Student Levels.
Kamalesh PalaniPaul StynesPramod PathakPublished in: CSEDU (2) (2021)
Keyphrases
- learning environment
- high levels
- clustering algorithm
- lower levels
- clustering method
- student engagement
- unsupervised learning
- k means
- cluster analysis
- spectral clustering
- intelligent tutoring systems
- high dimensional data
- learning styles
- data clustering
- fuzzy clustering
- student model
- categorical data
- data sets
- hierarchical clustering
- anomaly detection
- undergraduate students
- learning opportunities
- data mining
- neural network