Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC

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dc.contributor.author Alexandron, Giora
dc.contributor.author Ruipérez-Valiente, José A.
dc.contributor.author Chen, Zhongzhou
dc.contributor.author Muñoz Merino, Pedro José
dc.contributor.author Pritchard, David E.
dc.date.accessioned 2021-01-13T08:32:17Z
dc.date.available 2021-01-13T08:32:17Z
dc.date.issued 2017-05-01
dc.identifier.bibliographicCitation Alexandron, G., Ruipérez-Valiente, J. A., Chen, Z., Muñoz-Merino, P. J., & Pritchard, D. E. (2017). Copying@Scale: Using harvesting accounts for collecting correct answers in a MOOC. Computers & Education, 108, 96-114
dc.identifier.issn 0360-1315
dc.identifier.uri http://hdl.handle.net/10016/31692
dc.description.abstract This paper presents a detailed study of a form of academic dishonesty that involves the use of multiple accounts for harvesting solutions in a Massive Open Online Course (MOOC). It is termed CAMEO Copying Answers using Multiple Existence Online. A person using CAMEO sets up one or more harvesting accounts for collecting correct answers; these are then submitted in the user's master account for credit. The study has three main goals: Determining the prevalence of CAMEO, studying its detailed characteristics, and inferring the motivation(s) for using it. For the physics course that we studied, about 10% of the certificate earners used this method to obtain more than 1% of their correct answers, and more than 3% of the certificate earners used it to obtain the majority (> 50%) of their correct answers. We discuss two of the likely consequences of CAMEO: jeopardizing the value of MOOC certificates as academic credentials, and generating misleading conclusions in educational research. Based on our study, we suggest methods for reducing CAMEO. Although this study was conducted on a MOOC, CAMEO can be used in any learning environment that enables students to have multiple accounts. (C) 2017 Elsevier Ltd. All rights reserved.
dc.description.sponsorship The first two authors contributed equally to this work. The second and fourth authors want to thank the projects “eMadrid” (Regional Government of Madrid) under grant S2013/ICE-2715 and “RESET” (Ministry of Economy and Competiveness) under grant RESET TIN2014-53199-C3-1-R for partially supporting this work.
dc.publisher Elsevier
dc.rights © 2017 Elsevier
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Academic dishonesty
dc.subject.other Educational data mining
dc.subject.other Learning analytics
dc.subject.other MOOCS
dc.subject.other Academic dishonesty
dc.subject.other Help-seeking
dc.subject.other High-school
dc.title Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1016/j.compedu.2017.01.015
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2014-53199-C3-1-R
dc.relation.projectID Comunidad de Madrid. S2013/ICE-2715
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 96
dc.identifier.publicationlastpage 114
dc.identifier.publicationtitle Computers & Education
dc.identifier.publicationvolume 108
dc.identifier.uxxi AR/0000019842
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.contributor.funder Comunidad de Madrid
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