Mohamed El Alaoui, K. E. Yassini, Hussain Ben-Azza
{"title":"Enhancing MOOCs peer reviews validity and reliability by a fuzzy coherence measure","authors":"Mohamed El Alaoui, K. E. Yassini, Hussain Ben-Azza","doi":"10.1145/3286606.3286834","DOIUrl":null,"url":null,"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.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Smart City Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3286606.3286834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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