Post hoc identification of student groups: Combining user modeling with cluster analysis.
Igor BalabanDanijel FilipovicMiran ZlatovicPublished in: Educ. Inf. Technol. (2023)
Keyphrases
- cluster analysis
- user modeling
- post hoc
- student groups
- categorical data
- clustering algorithm
- user model
- information retrieval
- clustering method
- k means
- user interface
- unsupervised learning
- hierarchical latent class models
- recommender systems
- data mining
- user profiles
- cluster validity
- collaborative filtering
- web search
- data analysis
- learning environment
- databases
- information extraction
- web pages
- e learning
- metadata
- recommendation systems
- decision trees
- user interests
- bayesian networks
- domain independent
- user preferences
- expert systems
- learning process
- relevance feedback