Augmenting Collaboration with Personalization Services

Augmenting Collaboration with Personalization Services

Christina E. Evangelou (Research Academic Computer Technology Institute, Greece), Manolis Tzagarakis (Research Academic Computer Technology Institute, Greece), Nikos Karousos (Research Academic Computer Technology Institute, Greece), George Gkotsis (Research Academic Computer Technology Institute, Greece) and Dora Nousia (Research Academic Computer Technology Institute, Greece)
Copyright: © 2007 |Pages: 13
DOI: 10.4018/jwltt.2007070105

Abstract

Collaboration is considered as an essential element for effective learning since it enables learners to better develop their points of view and refine their knowledge. Our aim being to facilitate communities of practice members as learners, we argue that collaboration tools should provide personalization features and functionalities in order to fit the specific individual and community learning requirements. More specifically, we propose a framework of services supporting personalization that being embedded in collaboration tools, can act as catalysts for individual and community learning. The proposed set of services has derived after the careful consideration of a generic learner profile, developed to formalize human actors in settings where learning takes place.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 15: 4 Issues (2020): 2 Released, 2 Forthcoming
Volume 14: 4 Issues (2019)
Volume 13: 4 Issues (2018)
Volume 12: 4 Issues (2017)
Volume 11: 4 Issues (2016)
Volume 10: 4 Issues (2015)
Volume 9: 4 Issues (2014)
Volume 8: 4 Issues (2013)
Volume 7: 4 Issues (2012)
Volume 6: 4 Issues (2011)
Volume 5: 4 Issues (2010)
Volume 4: 4 Issues (2009)
Volume 3: 4 Issues (2008)
Volume 2: 4 Issues (2007)
Volume 1: 4 Issues (2006)
View Complete Journal Contents Listing