Improving Imbalanced Students' Text Feedback Classification Using Re-sampling Based Approach.
Zainab Mutlaq IbrahimMohamed Bader-El-DenMihaela CoceaPublished in: UKCI (2019)
Keyphrases
- supervised machine learning
- learning environment
- decision trees
- distance learning
- learning process
- class imbalance
- classification accuracy
- sampling methods
- learning experience
- text classification
- student learning
- college students
- learning outcomes
- imbalanced data
- learning styles
- peer assessment
- imbalanced datasets
- text mining
- computer science courses
- machine learning
- single class
- multiple choice questions
- undergraduate students
- creative problem solving
- higher education
- training data
- support vector
- feature vectors
- supervised learning
- image classification
- collaborative learning
- high dimensionality
- minority class
- tutoring system
- classification algorithm
- high school students
- intelligent tutoring systems
- relevance feedback
- imbalanced class distribution
- cost sensitive
- class distribution