Personalization on the Net using Web mining: introduction
Communications of the ACM
Multi-model, Metadata Driven Approach to Adaptive Hypermedia Services for Personalized eLearning
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Personalised E-Learning Opportunities - Call for a Pedagogical Domain Knowledge Model
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Adaptive personalized eLearning on top of existing LCMS
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
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In this paper we present a way to organize Learning Objects to achieve personalized eLearning. PEDAL-NG is a system that supports personalization based on the user's prior knowledge and the learning style in an existing and operational eLearning environment. The prior knowledge assessment and the learning style questionnaire proved to be simple and useful tools to gather necessary information about the user in order to deliver personalized eLearning experience.