An Artificial Intelligence Course Used to Investigate Students' Learning Style
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
Ontology based situation analysis and encouragement in e-learning system
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Knowledge preference based learning community construction and service support
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
RSS-based e-learning recommendations exploiting fuzzy FCA for Knowledge Modeling
Applied Soft Computing
Rule-Based reasoning for building learner model in programming tutoring system
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
Protus 2.0: Ontology-based semantic recommendation in programming tutoring system
Expert Systems with Applications: An International Journal
Automatic extraction of prerequisites and learning outcome from learning material
International Journal of Metadata, Semantics and Ontologies
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This paper introduces a domain ontology to describe learning material that compose a course, capable of providing adaptive e-learning environments and reusable educational resources. Two characteristics have been considered to describe each resource: (1) the most appropriate learning style and, (2) the most satisfactory hardware and software features of the used device.