Bringing the Social Semantic Web to the Personal Learning Environment

Authors:
Vlad Posea;Stefan Trausan-Matu
Affiliations:
-;-
Venue:
ICALT '10 Proceedings of the 2010 10th IEEE International Conference on Advanced Learning Technologies
Year:
2010

Citing 0
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Abstract

The paper proposes a method to semantically index the learning resources accessible to the learner in the social websites that he uses and bring them together in a Personal Learning Environment together with features like tag-based search and recommendations and learner profile generation. The paper describes the algorithms used, the semantic model for storing the data and the widgets that provide feedback to the learner and that can be used in learning systems like Moodle or Elgg.