Personalization in distributed e-learning environments
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Personalized Distance Learning Based on Multiagent Ontological System
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Supporting application development in the semantic web
ACM Transactions on Internet Technology (TOIT)
Building learner's ontologies to assist personalized search of learning objects
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. (Advanced Information and Knowledge Processing)
Personalized web-based tutoring system based on fuzzy item response theory
Expert Systems with Applications: An International Journal
An attribute-based ant colony system for adaptive learning object recommendation
Expert Systems with Applications: An International Journal
Design of a performance-oriented workplace e-learning system using ontology
Expert Systems with Applications: An International Journal
An approach towards dynamic assembling of learning objects
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
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This paper describes a technical solution realizing an approach for personalized search of learning objects on the Web, which proposes a comparison of a learner (user) profile and learning object descriptions. This comparison is based not only on values of attributes of the learner profile and attributes of the learning object descriptions, but it also considers the importance of these attributes for the learner. In order to implement such a search we propose to develop ontological models of the learner and learning objects as well as approaches for determination and adjustment of the learner's preferences using corresponding ontologies. For this purpose we have selected criteria of estimation of suitability of learning objects to the learner profile and introduced coefficients of importance of these criteria, as well as a method for adjusting these coefficients.