Identifying Students At-Risk with an Ensemble of Machine Learning Algorithms.
Ranjin SoobramoneyAlveen SinghPublished in: ICTAS (2019)
Keyphrases
- machine learning algorithms
- random forests
- learning algorithm
- benchmark data sets
- machine learning
- predictive accuracy
- machine learning methods
- decision trees
- learning experience
- learning problems
- learning process
- learning environment
- student learning
- higher education
- ensemble methods
- learning activities
- machine learning models
- machine learning approaches
- e learning
- intelligent tutoring systems
- neural network
- standard machine learning algorithms
- distance learning
- random forest
- collaborative learning
- input features
- learning styles
- supervised learning
- meta learning
- statistical machine learning
- high school
- base classifiers
- learning models
- ensemble learning
- model selection
- machine learning systems