Learning Objects Recommendation in an Adaptive Educational Hypermedia System

The aim of this paper is presenting the modules of the Adaptive Educational Hypermedia System PCMAT, responsible for the recommendation of learning objects. PCMAT is an online collaborative learning platform with a constructivist approach, which assesses the user’s knowledge and presents contents and activities adapted to the characteristics and learning style of students of mathematics in basic schools. The recommendation module and search and retrieval module choose the most adequate learning object, based on the user's characteristics and performance, and in this way contribute to the system’s adaptability. Key-Words: Adaptive Educational Hypermedia, User Model, Adaptation Model, Learning Objects, Recommendation module, Search and Retrieval module