Forecasting student outcomes at university-wide scale using machine learning.
Drew WhamPublished in: LAK (2017)
Keyphrases
- machine learning
- semester long
- university level
- engineering students
- educational environment
- faculty members
- learning algorithm
- short term
- teaching methods
- e learning
- computer science students
- computer engineering
- student learning
- students studying
- intelligent tutoring systems
- machine learning methods
- learning styles
- knowledge acquisition
- decision trees
- case study
- learning process
- machine learning algorithms
- university courses
- support vector machine
- learning environment
- learning systems
- nsf funded
- artificial intelligence
- academic institutions
- semi structured interviews
- active learning
- support vector regression
- information extraction
- intelligent tutor
- computer science
- computer literacy
- reinforcement learning
- college level
- state university
- undergraduate students
- hong kong
- feature selection
- teaching assistants
- attitudes toward