Advances in personalised recommendation of learning objects based on the set covering problem using ontology.
Clarivando Francisco Belizário JúniorFabiano Azevedo DorçaLuciana Pereira de AssisAlessandro Vivas AndradePublished in: Int. J. Learn. Technol. (2024)
Keyphrases
- learning objects
- set covering problem
- set covering
- recommender systems
- user preferences
- branch and bound algorithm
- personalised learning
- integer programming
- knowledge domains
- column generation
- learning resources
- bi objective
- e learning
- authoring tool
- metadata
- semantic web
- learning object repositories
- learning management systems
- learning object metadata
- learner model
- domain ontology
- learning activities
- domain specific
- learning materials
- domain knowledge
- semantic metadata
- collaborative filtering
- learning process
- recommendation systems
- knowledge representation
- knowledge base
- metadata standards
- lower bound
- knowledge space theory
- branch and bound
- learning content
- evolutionary algorithm
- semantic relationships
- efficient solutions
- mobile learning
- semantic information
- linear programming
- learning systems
- genetic algorithm
- reusable learning objects
- concept maps
- context aware
- semi automatic
- user profiles
- search algorithm
- personalized recommendation
- mobile devices