Analysing University at-Risk Students in a Virtual Learning Environment using Machine Learning Algorithms.
Deshalin NaidooTimothy T. AdeliyiPublished in: ICTAS (2023)
Keyphrases
- machine learning algorithms
- university level
- benchmark data sets
- e learning
- engineering students
- machine learning
- learning algorithm
- decision trees
- educational environment
- virtual learning environments
- open university
- machine learning methods
- applied sciences
- predictive accuracy
- teaching methods
- engineering education
- higher education
- student learning
- learning problems
- state university
- graduate school
- students studying
- machine learning approaches
- learning experience
- computer science courses
- semester long
- learning tasks
- random forests
- electrical engineering
- learning activities
- undergraduate students
- machine learning systems
- learning environment
- learning process
- faculty members
- student groups
- high school
- distance learning
- machine learning models
- collaborative learning
- hong kong
- learning styles
- standard machine learning algorithms
- college students
- learning models
- learning outcomes
- blended learning
- undergraduate and graduate
- learning materials
- domain specific
- feature selection
- real world