Semantic Web Technologies for Supporting Peer Assessment

نویسندگان

  • Lilia Cheniti Belcadhi
  • Serge Garlatti
چکیده

We are interested in three technologies, Semantic web and ontologies to deliver peer assessment as part of Inquiry based learning (IBL) environment. Introducing peer assessment can be a way to force students to take the responsibility to make a judgment about the actual contribution of each of their peers and to enrich their knowledge by assessing the work done by other learners. Delivery of peer assessment in these environments is based on the use of Web 2.0 and semantic Web and aims to deliver peer assessment activities adapted to learner specific situation, profile and context. In this paper we study the possibilities to produce peer learner assessment in IBL environments through an analysis of a peer assessment scenario in these environments and main issues to be faced. We finally propose a description of main semantic models needed to produce peer assessment activities in the learning process.

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تاریخ انتشار 2013