Personalized and Explainable Course Recommendations for Students at Risk of Dropping out.
Kerstin WagnerAgathe MerceronPetra SauerNiels PinkwartPublished in: EDM (2022)
Keyphrases
- e learning
- learning styles
- learning environment
- personalized recommendation
- learning experience
- student learning
- learning activities
- learning outcomes
- collaborative learning
- computer science students
- high school students
- undergraduate students
- high school
- grade students
- providing personalized
- tutoring system
- distance education
- intelligent tutoring systems
- higher education
- university students
- recommender systems
- problem based learning
- distance learning
- teaching methods
- risk management
- user profiles
- control group
- computer supported collaborative learning
- elementary school
- university level
- computer programming
- personalized learning
- peer assessment
- learning process
- helping students
- students completed
- learning tools
- context aware
- educational institutions
- science education
- teaching materials
- risk assessment
- recommendation systems
- concept maps
- learning scenarios