This article examines the application of peer assessment in massive open online courses (MOOCs). The authors note that "perhaps the most glaring problem with peer assessment is how trustworthy the results are. After all, within peer assessment, the performance of a novice is being judged by other novices." The best bit is at the end where different approaches are considered, including connectivist MOOCs, calibrated peer reviews, Bayesian post hoc stabilization, and a credibility index.
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