Recommender system for learning objects based in the fusion of social signals, interests, and preferences of learner users in ubiquitous e-learning systems.
Alessandro da Silveira DiasLeandro Krug WivesPublished in: Pers. Ubiquitous Comput. (2019)
Keyphrases
- learning objects
- recommender systems
- personal preferences
- learning materials
- e learning
- user profiles
- personal interests
- user communities
- user preferences
- learning process
- learner model
- adaptive learning
- collaborative filtering
- learning content
- recommendation quality
- user interests
- learning path
- learner profiles
- learning resources
- individual user
- learning management systems
- personalized recommendation
- learning activities
- user model
- authoring tool
- user generated content
- social media
- metadata
- learning processes
- personalized learning
- recommendation algorithms
- personalised learning
- social networks
- recommendation systems
- learning object repositories
- learning environment
- user feedback
- learning experience
- online learning
- learning object metadata
- higher education
- metadata standards
- semantic metadata
- user interaction
- user modeling
- collaborative authoring
- learning styles
- learning design
- user behavior
- information seeking
- information overload
- database