Predicting Student Academic Performance Using Machine Learning.
Opeyemi Peter OjajuniFoluso AyeniOlagunju AkoduFemi EkanoyeSamson AdewoleTimothy AyoSanjay MisraVictor MbarikaPublished in: ICCSA (9) (2021)
Keyphrases
- machine learning
- intelligent tutoring systems
- machine learning methods
- machine learning algorithms
- pattern recognition
- computer engineering
- student learning
- decision trees
- learning environment
- learning systems
- undergraduate engineering
- academic institutions
- faculty members
- high school students
- student model
- computer vision
- feature selection
- information extraction
- active learning
- data mining
- post secondary
- learning algorithm
- artificial intelligence
- inductive learning
- inductive logic programming
- knowledge representation
- learning styles
- text classification
- text mining
- knowledge discovery
- support vector machine
- supervised learning
- online course
- learning process
- machine learning approaches
- explanation based learning
- programming course
- university level
- knowledge acquisition
- computational intelligence
- natural language processing