M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering.
Mo ZhouAlison CliffSanjay KrishnanBrandie NonneckeCamille CrittendenKanji UchinoKen GoldbergPublished in: SIGITE (2015)
Keyphrases
- online course
- collaborative filtering
- massive open online courses
- online learning
- student perceptions
- learning styles
- distance learning
- statistically significant
- recommender systems
- matrix factorization
- user preferences
- college level
- user feedback
- data sparsity
- relevance feedback
- learning process
- personalized recommendation
- learning content
- e learning
- web based courses
- m learning
- learning management systems
- blended learning
- higher education
- university level
- user profiles
- education programs
- student progress
- computer science courses