01438nas a2200205   4500000000100000000000100001008004100002260001200043653001500055653001400070653002000084653002400104100001800128245007800146856009900224300001000323490000600333520087900339022001401218       2013                            d  c06/201310ae-learning10aEducation10aPersonalization10aTechnology Enhanced1 aDaniel Burgos00aL.I.M.E. A recommendation model for informal and formal learning, engaged  uhttp://www.ijimai.org/journal/sites/default/files/files/2013/06/ijimai20132_2_11_pdf_25682.pdf  a79-860 v23 aIn 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.  a1989-1660