Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques.
Raghad Al-ShabandarAbir Jaafar HussainPanos LiatsisRobert KeightPublished in: IEEE Access (2019)
Keyphrases
- student learning
- learning experience
- learning environment
- college students
- higher education
- collaborative learning
- learning outcomes
- distance learning
- students learning
- high school students
- distance education
- problem based learning
- learning styles
- high school
- university students
- undergraduate students
- intelligent tutoring systems
- learning process
- e learning
- narrative centered learning environments
- grounded theory
- online course
- decision making
- learning activities
- tutoring system
- high risk
- computer programming
- risk management
- middle school students
- open ended
- online learning
- risk factors
- risk assessment
- young students
- teaching methods
- science learning
- computer assisted instruction
- mobile learning
- learning scenarios
- elementary school
- programming course
- learning community
- cognitive load
- computer scientists
- computer supported collaborative learning