Reducing the Error Mapping of the Students' Performance Using Feature Selection.
Yuni YamasariNaim RochmawatiAnita QoiriahDwi F. SuyatnoTohari AhmadPublished in: SoCPaR (2020)
Keyphrases
- feature selection
- learning experience
- learning environment
- high school students
- high school
- student learning
- intelligent tutoring systems
- distance learning
- college students
- mutual information
- learning activities
- learning outcomes
- undergraduate students
- higher education
- text classification
- distance education
- elementary school
- error rate
- learning process
- error analysis
- university students
- students learning
- e learning
- text categorization
- collaborative learning
- feature set
- dimensionality reduction
- grounded theory
- conceptual understanding
- classification accuracy
- university level
- support vector machine
- multi class
- computer programming
- helping students
- problem based learning
- concept maps
- learning styles
- feature space
- learning tools
- irrelevant features
- computer science students
- educational institutions
- middle school
- teacher education
- subject matter
- science education
- mobile learning