Muñoz Merino, Pedro JoséDelgado Kloos, CarlosMuñoz Organero, MarioWolpers, MartinFriedrich, Martin2014-10-022014-10-02201010th IEEE International Conference on Advanced Learning Technologies, (2010). IEEE, 89-91.978-0-7695-4055-9https://hdl.handle.net/10016/19425Proocedings of: 10th IEEE International Conference on Advanced Learning Technologies (ICALT 2010). Sousse, Tunisia, 5-7 July 2010.The generation of Contextualized Attention Metadata (CAM) allows to retrieve information about the different actions that users execute over different resources in a specific context. This paper presents how CAM is used within a learning system to personalize help provided to students while working on online exercises. We outline our approach and present two application examples within this framework for the personalization of exercises with hints.3application/pdfeng© 2010 IEEE.Adaptive and Personalized Technologyenhanced LearningSemantic Web and Ontologies for Learning SystemsKnowledge and Competence Managementconference paperTelecomunicaciones10.1109/ICALT.2010.32open access8991IEEE International Conference on Advanced Learning Technologies (ICALT 2010)CC/0000011543