L.I.M.E. A recommendation model for informal and formal learning, engaged

TitleL.I.M.E. A recommendation model for informal and formal learning, engaged
Publication TypeJournal Article
Year of Publication2013
AuthorsBurgos, D.
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
IssueRegular Issue
Date Published06/2013

In current eLearning models and implementations (e.g. Learning Management Systems-LMS) there is a lack of engagement between formal and informal activities. Furthermore, the online methodology focuses on a standard set of units of learning and learning objects, along with pre-defined tests, and collateral resources like, i.e. discussion fora and message wall. They miss the huge potential of learning via the interlacement of social networks, LMS and external sources. Thanks to user behaviour, user interaction, and personalised counselling by a tutor, learning performance can be improved. We design and develop an adaptation eLearning model for restricted social networks, which supports this approach. In addition, we build an eLearning module that implements this conceptual model in a real application case, and present the preliminary analysis and positive results.

Keywordse-learning, Education, Personalization, Technology Enhanced
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