The Role of Machine Learning in Identifying Students At-Risk and Minimizing Failure.
Reyhan Zeynep PekSibel Tariyan ÖzyerTarek ElhageTansel ÖzyerReda AlhajjPublished in: IEEE Access (2023)
Keyphrases
- machine learning
- undergraduate students
- learning environment
- student learning
- learning experience
- higher education
- distance learning
- tertiary education
- high school students
- computer science students
- collaborative learning
- learning algorithm
- learning activities
- socio cultural
- machine learning algorithms
- science education
- online course
- intelligent tutoring systems
- machine learning methods
- college students
- learning tasks
- programming course
- educational institutions
- text classification
- educational data mining
- socio cognitive
- e learning
- computer programming
- decision making
- control group
- active learning
- risk assessment
- data mining
- university students
- students learning
- problem based learning
- learning community
- risk management
- distance education
- learning outcomes
- computer science
- graduate students
- decision trees
- reinforcement learning
- conceptual understanding
- university level
- learning styles
- computational intelligence
- natural language processing
- learning process
- information technology