Identifying Critical LMS Features for Predicting At-risk Students.
Ying GuoCengiz GünaySairam TangiralaDavid KervenWei JinJamye Curry SavageSeungjin LeePublished in: CoRR (2022)
Keyphrases
- higher education
- e learning
- learning process
- feature extraction
- feature space
- student learning
- learning activities
- learning management systems
- distance learning
- learning styles
- learning experience
- computer programming
- high school
- intelligent tutoring systems
- feature set
- co occurrence
- image features
- classification accuracy
- feature vectors
- low level
- risk management
- learning community
- undergraduate students
- high school students