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Grading multiple choice exams with low-cost andportable computer-vision techniques

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorArias Fisteus, Jesús
dc.contributor.authorPardo Sánchez, Abelardo
dc.contributor.authorFernández García, Norberto
dc.contributor.funderComunidad de Madrides
dc.date.accessioned2020-06-11T16:52:40Z
dc.date.available2020-06-11T16:52:40Z
dc.date.issued2013-08
dc.description.abstractAlthough technology for automatic grading of multiple choice exams has existed for several decades, it is not yet as widely available or affordable as it should be. The main reasons preventing this adoption are the cost and the complexity of the setup procedures. In this paper, Eyegrade, a system for automatic grading of multiple choice exams is presented. While most current solutions are based on expensive scanners, Eyegrade offers a truly low-cost solution requiring only a regular off-the-shelf webcam. Additionally, Eyegrade performs both mark recognition as well as optical character recognition of handwritten student identification numbers, which avoids the use of bubbles in the answer sheet. When compared with similar webcam-based systems, the user interface in Eyegrade has been designed to provide a more efficient and error-free data collection procedure. The tool has been validated with a set of experiments that show the ease of use (both setup and operation), the reduction in grading time, and an increase in the reliability of the results when compared with conventional, more expensive systems.en
dc.description.sponsorshipThis work was partially funded by the EEE project, “Plan Nacional de I+D+I TIN2011-28308-C03-01” and the “Emadrid: Investigación y desarrollo de tecnologias para el e-learning en la Comunidad de Madrid” project (S2009/TIC-1650).en
dc.description.statusPublicadoes
dc.format.extent11
dc.identifier.bibliographicCitationJournal of Science Education and Technology, (2013), 22(4), 560–571.en
dc.identifier.doihttps://doi.org/10.1007/s10956-012-9414-8
dc.identifier.issn1059-0145
dc.identifier.publicationfirstpage560
dc.identifier.publicationissue4
dc.identifier.publicationlastpage571
dc.identifier.publicationtitleJournal of Science Education and Technologyen
dc.identifier.publicationvolume22es
dc.identifier.urihttps://hdl.handle.net/10016/30608
dc.identifier.uxxiAR/0000013783
dc.language.isoengen
dc.publisherSpringer
dc.relation.projectIDGobierno de España. TIN2011-28308-C03-01es
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1650es
dc.rights© Springer Science+Business Media, LLC 2012.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherAutomatic assessmenten
dc.subject.otherComputer-assisted assessmenten
dc.subject.otherAutomatic image recognitionen
dc.subject.otherComputer-supported learningen
dc.titleGrading multiple choice exams with low-cost andportable computer-vision techniquesen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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