Improving Peer Assessment by using Learning Analytics

نویسندگان

  • Usman Wahid
  • Mohamed Amine Chatti
  • Ulrik Schroeder
چکیده

In recent years, peer assessment has established itself as one of the most promising methods of assessment in open learning environments typically in massive open online courses (MOOCs). However, researchers are still working on ways to address a number of challenges in peer assessment. In this paper, we propose some solutions from the field of learning analytics which have the potential to provide significant value in the peer assessment process.

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تاریخ انتشار 2016