Mapping of learning style with learning object metadata for addressing cold-start problem in e-learning recommender systems.
Jeevamol JoyV. G. RenumolPublished in: Int. J. Learn. Technol. (2021)
Keyphrases
- cold start problem
- learning styles
- learning object metadata
- recommender systems
- learning resources
- ieee lom
- learning objects
- e learning
- learning materials
- cold start
- learning process
- learning management systems
- educational resources
- learning experience
- collaborative filtering
- learning object repositories
- learning systems
- matrix factorization
- item based collaborative filtering
- data sparsity
- learning preferences
- educational hypermedia
- learning technologies
- learning design
- learning outcomes
- user preferences
- metadata
- information overload
- personalized recommendation
- learning processes
- authoring tool
- learning scenarios
- user profiles
- learning algorithm
- learning activities
- learning content
- user interests
- digital resources
- data sparseness
- recommendation algorithms
- online learning
- learning environment