Investigation on e-Learning Status Estimation for New Learners - Classifier Selection on Representative Sample Selection.
Siyang YuKazuaki KondoYuichi NakamuraTakayuki NakajimaMasatake DantsujiPublished in: IEICE Trans. Inf. Syst. (2020)
Keyphrases
- sample selection
- e learning
- training data
- active learning
- support vector machine
- learning environment
- learning resources
- learning materials
- learning process
- selection strategy
- selection criterion
- learning experience
- svm classification
- online learning
- learning activities
- decision trees
- learning objects
- training examples
- learning content
- data sets
- lifelong learning
- support vector
- life long
- higher education
- training samples
- multi class
- supervised learning
- educational environment
- training set
- learning management systems
- training dataset
- learning systems
- feature selection
- class labels
- life long learning
- feature space
- training process
- classification accuracy
- knn
- classification algorithm
- svm classifier
- classification method
- reinforcement learning
- instance based learning
- feature extraction
- feature set
- learning algorithm