A computational architecture for learning objects authoring and personalization in ubiquitous learning environments

Abstract

Computers have become everyday tools in the contemporary classroom to support both instructors and students in the learning process. Ubiquitous Learning Environments (ULEs) are created to combine real and virtual learning environments in order to produce richer study artifacts composed multimedia documents structured as Learning Objects (LOs). This work presents a computational architecture grounded on ULEs and Intelligent Tutoring Systems concepts, capable of structuring LOs captured in classrooms and their metadata through a collaborative approach, and offering content personalization and recommendation features to students. The resulting LO repository, with metadata in the IEEE-LOM format, is made publicly available.