Increasing the Sensitivity of a Personalized Educational Data Mining Method for Curriculum Composition.
Yukiko YamamotoRainer KnaufYuta MiyazawaSetsuo TsurutaPublished in: ICSLE (2014)
Keyphrases
- data mining methods
- e learning
- data mining
- lifelong learning
- decision trees
- data mining techniques
- curriculum development
- primary school
- educational settings
- data sets
- learning goals
- educational games
- customer segmentation
- collaborative learning
- data mining and machine learning
- similarity measure
- personalized learning
- skill development
- database
- school education
- knowledge building community