Predicting students' continuance use of learning management system at a technical university using machine learning algorithms.
Noble Arden Elorm KuadeyFrancois MahamaCarlos AnkoraLily BensahGerald Tietaa MaaleVictor Kwaku AgbesiAnthony Mawuena KuadeyLaurene AdjeiPublished in: Interact. Technol. Smart Educ. (2023)
Keyphrases
- machine learning algorithms
- learning management systems
- higher education
- learning styles
- distance learning
- e learning
- educational environment
- educational institutions
- learning process
- benchmark data sets
- learning algorithm
- blended learning
- higher education institutions
- learning platforms
- online learning
- machine learning
- decision trees
- learning experience
- online course
- learning problems
- online education
- distance education
- machine learning methods
- predictive accuracy
- learning objects
- learning content
- machine learning approaches
- learning outcomes
- learning activities
- learning technologies
- random forests
- mobile learning
- learning path
- scorm compliant
- learning materials
- learning tasks
- learning design
- learning environment
- faculty members
- student learning
- pedagogical approaches
- standard machine learning algorithms
- high school
- machine learning systems
- machine learning models
- technology enhanced
- learning models
- learning systems
- student centered
- learning processes
- mobile devices