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

• Main Author: Daniel Burgos
• Format: Article
• Language: English
• Published: Universidad Internacional de La Rioja (UNIR) 2013-06-01
• Series: International Journal of Interactive Multimedia and Artificial Intelligence
• Subjects: Technology-enhanced Learning; eLearning; Personalization; Social Network; Conceptual Educational Model
• Online Access: http://www.ijimai.org/journal/sites/default/files/files/2013/06/ijimai20132_2_11_pdf_25682.pdf

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.