A vector space model for automatic indexing
Communications of the ACM
Knowledge multimedia processes in technology enhanced learning
MTDL '09 Proceedings of the first ACM international workshop on Multimedia technologies for distance learning
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
A media theoretical approach to technology enhanced learning in non-technical disciplines
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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Our shared belief is that learning, like other human activities, cannot and will not be confined within rigidly defined course systems or learning repositories, inclosing learning resources which cannot be tailored to the different learner麓s needs, skills, interests, preferences, goals, etc. Therefore, a learning environment, besides supporting communication between knowledge providers and consumers, has to be organized in a flexible manner based on different learner profiles. Learner modeling has become a highly challenging task to provide personalized, adaptive and context-based learning. The work presented in this paper addresses this issue by providing a meta-level solution for the description, transformation and matching of learner models, based on standards such as IMS LIP, IEEE PAPI, XML to foster the reuse and exchange of learner models between learning platforms, both by universities and corporations.