Peer assessment based on ratings in a social media course

作者: Andrii Vozniuk , Adrian Holzer , Denis Gillet

DOI: 10.1145/2567574.2567608

关键词:

摘要: Peer assessment is seen as a powerful supporting tool to achieve scalability in the evaluation of complex assignments large courses, possibly virtual ones, context massive open online courses (MOOCs). However, adoption peer slow due part lack ready-to-use systems. Furthermore, validity still under discussion. In this paper, order tackle some these issues, we present proof-of-concept novel extension Graasp, social media platform, setup activity. We then report case study using Graasp Social Media course with 60 master's level university students and analyze agreement between instructors short individual reports. Finally, see if both instructor student evaluations were based on appearance project reports rather than content, conducted 40 kids who rated solely their look. Our results convey fact that unlike kid evaluation, which shows low instructors, reliable since was high.

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