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Published in:
2010 | OriginalPaper | Chapter
Recommending Learning Objects According to a Teachers’ Contex Model
Authors : Jorge Bozo, Rosa Alarcón, Sebastian Iribarra
Published in: Sustaining TEL: From Innovation to Learning and Practice
Publisher: Springer Berlin Heidelberg
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Several online repositories make available learning resources known as Learning Objects (LOs), and tasks such as identifying useful metadata, diminishing the annotation effort, and facilitating LOs discovery and retrieval, remain still as open challenges. Advanced searching techniques such as recommending systems have been studied to address these issues, though mainly focused on
students
. We focus on
teachers
and exploit their context in order to identify metadata that describes LOs content. Teachers’ profiles consider also such metadata in a hybrid approach for recommending LOs to teachers and instructors.