Recommendation in e-learning social networks

Authors:
Pierpaolo Di Bitonto;Teresa Roselli;Veronica Rossano
Affiliations:
Department of Informatics, University of Bari "Aldo Moro", Bari, Italy;Department of Informatics, University of Bari "Aldo Moro", Bari, Italy;Department of Informatics, University of Bari "Aldo Moro", Bari, Italy
Venue:
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
Year:
2011

Citing 3
Cited 0

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Personal recommender systems for learners in lifelong learning networks: the requirements, techniques and model

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Abstract

In the past years learning has evolved from face-to-face to computer-supported learning, and we are now entering yet a new phase. The (r)evolution that yielded the knowledge transforming the Web 1.0 into Web 2.0 is now coming to e-learning contexts. Social media are the technologies most widely used to share educational contents, to find colleagues, discussion groups, and so on. But while in the Web 1.0 the most "time-spending" activity was to find suitable learning content, in the Web 2.0 era the search process is focused on different types of resources. This paper proposes a recommendation method that, by using a clustering algorithm, is able to support users during the selection steps. The recommendation is based on the tags defined by the network learners and the items to be recommended include not only contents but also social connections that could enrich the user's learning process.