Cluster Analysis of Student Learning Process on Digital Learning Media Based on Visual Intuition Using Adaptive Moving Self-Organizing Maps.
Ahmad Afif SupiantoOnky PrasetyaSyaiful AnamTibyani TibyaniHilman Ferdinandus PardedeYusuke HayashiTsukasa HirashimaPublished in: SIET (2021)
Keyphrases
- cluster analysis
- self organizing maps
- student learning
- unsupervised learning
- neural gas
- student engagement
- learning algorithm
- categorical data
- k means
- online learning
- clustering algorithm
- data mining
- learning process
- supervised learning
- learning tools
- data clustering
- hierarchical latent class models
- data analysis
- multimedia
- model selection
- fuzzy clustering
- maximum likelihood
- active learning
- high dimensional
- instructional strategies
- reinforcement learning