NetLearn: Social Network Analysis and Visualizations for Learning

Authors:
Mohamed Amine Chatti;Matthias Jarke;Theresia Devi Indriasari;Marcus Specht
Affiliations:
Informatik 5 {Information Systems}, RWTH Aachen University,;Informatik 5 {Information Systems}, RWTH Aachen University,;Informatik 5 {Information Systems}, RWTH Aachen University,;Open University Heerlen, Netherlands
Venue:
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Year:
2009

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Abstract

The most valuable and innovative knowledge is hard to find, and it lies within distributed communities and networks. Locating the right community or person who can provide us with exactly the knowledge that we need and who can help us solve exactly the problems that we come upon, can be an efficient way to learn forward. In this paper, we present the details of NetLearn; a service that acts as a knowledge filter for learning. The primary aim of NetLearn is to leverage social network analysis and visualization techniques to help learners mine communities and locate experts that can populate their personal learning environments.