An Approach for Automatic and Dynamic Analysis of Learning Objects Repositories through Ontologies and Data Mining Techniques for Supporting Personalized Recommendation of Content in Adaptive and Intelligent Educational Systems.
Fabiano Azevedo DorçaVitor C. de CarvalhoMiller M. MendesRafael Dias AraujoHiran Nonato M. FerreiraRenan G. CattelanPublished in: ICALT (2017)
Keyphrases
- learning objects
- dynamic analysis
- adaptive learning systems
- personalized recommendation
- data mining techniques
- metadata
- learning object metadata
- learning content
- semantic web technologies
- static analysis
- intelligent educational systems
- user interests
- semantic metadata
- reverse engineering
- educational resources
- learning resources
- learning activities
- learning materials
- data mining
- web resources
- e learning
- learning management systems
- learning object repositories
- ontology evolution
- authoring tool
- learning process
- recommender systems
- collaborative filtering
- semi automatic
- web users
- user feedback
- digital libraries
- databases
- educational material
- domain specific
- semantic web
- recommendation systems
- knowledge base
- web content
- artificial intelligence
- user preferences
- website
- learning technologies
- user model
- structured data
- web mining