Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization.
Seth AdjeiKorinn OstrowErik EricksonNeil T. HeffernanPublished in: EDM (2017)
Keyphrases
- high school
- clustering algorithm
- lower levels
- secondary school
- formal education
- elementary school
- high school students
- science education
- undergraduate students
- primary school
- student learning
- learning environment
- classroom learning
- higher education
- computer usage
- e learning
- clustering method
- life long learning
- applied sciences
- college students
- learning outcomes
- science curriculum
- computing education
- intelligent tutoring systems
- learning experience
- learning process
- middle school mathematics
- upper level
- k means
- learning opportunities
- learning styles
- cognitive load
- tutoring system
- distance learning
- sixth graders
- special education
- early childhood
- school teachers
- teaching practices
- learning activities
- user profiles