Predicting students' graduation outcomes through support vector machines.
Yulei PangNicolas JuddJoseph O'BrienMichael Ben-AviePublished in: FIE (2017)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- student learning
- learning experience
- learning environment
- college students
- collaborative learning
- learning styles
- learning outcomes
- higher education
- semester long
- undergraduate students
- intelligent tutoring systems
- distance learning
- high school students
- e learning
- learning process
- university level
- generalization ability
- online course
- tutoring system
- grounded theory
- high school
- svm classifier
- helping students
- middle school
- computer programming
- cross validation
- university students
- teacher education
- mobile learning
- computer science students
- conceptual understanding
- science learning
- classification accuracy
- support vector machine
- multi class
- hong kong
- programming course
- educational institutions
- educational environment
- project based learning
- logistic regression
- learning activities
- kernel methods
- learning strategies