Collaborative student profile to support assistance in CSCL environment

  • Authors:
  • Elena Durán;Analía Amandi

  • Affiliations:
  • UNSE University, Santiago del Estero, Argentina;UNICEN University - CONICET, Tandil, Argentina

  • Venue:
  • Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
  • Year:
  • 2008

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Abstract

An effective collaboration in learning environments involves a set of skills that students must learn and cultivate. Detecting the contexts in which students apply these skills allows learning environments to offer personalized assistance during the learning process. In this paper a Collaborative Profile, as part of a student model, is introduced. This profile captures collaborative skills of a student working in a group. To build the Collaborative Profile a Web Usage Mining Approach is applied and collaborative behaviour patterns are detected automatically, identifying contexts in which student's skills are evident. This profile is designed to offer additional information to improve personalized assistance in collaborative learning environment.