Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models.
Muhammad AdnanAsad HabibJawad AshrafShafaq MussadiqArsalan Ali RazaMuhammad AbidMaryam BashirSana Ullah KhanPublished in: IEEE Access (2021)
Keyphrases
- machine learning models
- spam filtering
- learning environment
- student learning
- machine learning algorithms
- machine learning approaches
- computer lab
- student participation
- learning experience
- learning outcomes
- learning styles
- learning activities
- college students
- predictive model
- e learning
- machine learning
- learning process
- elementary school
- control group
- higher order