Personalization Services in Argumentation Tools: a Catalyst for Learning

Argumentation is considered as an essential element for effective learning since it enables learners to develop their points of view and refine their knowledge. Our aim being to facilitate CoP members as learners, we argue that argumentation tools should provide personalized features and functionalities in order to fit the specific individual and community learning requirements. More specifically, we propose a set of personalization services that 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.

• Type: Conference
• Year: 2006
• Where: ECTEL
• Authors: Christina E. Evangelou, Nikos Karousos, Manolis Tzagarakis, George Gkotsis, Dora Nousia
• Keywords: Community Learning, Community Learning Requirements, ECTEL 2006, Effective Learning, Machine Learning