Enhancing MOOCs peer reviews validity and reliability by a fuzzy coherence measure

Mohamed El Alaoui, K. E. Yassini, Hussain Ben-Azza
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引用次数: 3

Abstract

Massive Open Online Course (MOOC) are gaining more and more popularity permitting a large access for education. In doing so, they are confronted to new challenges, such as assessing a huge number of participants. A common idea lies on peer reviewing. However, students are not formed to assess others contributions. Hence, their evaluation are unreliable and may be biased. Since peer reviewing imposes itself in the actual MOOCs context, several approaches were considered to improve some aspects of its outcome. Here we proposed a fuzzy based approach that aims enhancing validity and reliability.
通过模糊一致性度量提高mooc同行评议的有效性和可靠性
大规模在线开放课程(MOOC)越来越受欢迎,为教育提供了大量的机会。在这样做的过程中,他们面临着新的挑战,例如评估大量的参与者。一个常见的想法是同行评议。然而,学生不是用来评价别人的贡献的。因此,他们的评估是不可靠的,可能有偏见。由于同行评议在实际的mooc环境中发挥了作用,因此考虑了几种方法来改善其结果的某些方面。在此,我们提出了一种基于模糊的方法,旨在提高信度和效度。
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