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Automatic assignment of reviewers in an online peer assessment task based on social interactions

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dc.contributor.authorAnaya, Antonio R.
dc.contributor.authorLuque Gallego, Manuel
dc.contributor.authorLetón Molina, Emilio
dc.contributor.authorHernández del Olmo, Félix
dc.date.accessioned2024-05-20T11:43:00Z
dc.date.available2024-05-20T11:43:00Z
dc.date.issued2019
dc.description.abstractOnline peer assessment tasks are very popular and have unique characteristics that improve learning and encourage social interactions in a distance education environment. Unfortunately, social factors have usually been ignored in the process of selecting reviewers for online peer assessment tasks. We hypothesise that this fact could have some influence on the lack of engagement and participation by some learners. For this reason, we propose an approach in which social network analysis techniques, expert criteria, and Bayesian reasoning are applied to select reviewers with the objective of increasing participation in peer review tasks. The approach is divided into two elements. On the one hand, we have developed an influence diagram template that structures a set of proposed social network analysis variables in accordance with expert criteria. This influence diagram template can be easily updated for any course simply by eliciting a minimal set of parameters. On the other hand, we have instantiated the proposed influence diagram template to produce an influence diagram network to quantify the quality of reviewer assignment for an online peer assessment task. In an online experiment, we verified that the consideration of social factors can increase participation in a peer assessment task.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.1111/exsy.12405
dc.identifier.issn0266-4720 eISSN 1468-0394
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12459
dc.journal.issue4
dc.journal.titleExpert Systems
dc.journal.volume36
dc.language.isoen
dc.publisherWiley Online Library
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordse-learning
dc.subject.keywordsinfluence diagram
dc.subject.keywordsnetwork analysis
dc.subject.keywordssocial interactions
dc.titleAutomatic assignment of reviewers in an online peer assessment task based on social interactionses
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicatione94799f0-bdd0-45be-b6b2-426269f6ee46
relation.isAuthorOfPublication316d9be8-fcb6-44a0-adb4-8742c293f6be
relation.isAuthorOfPublication7c2613b6-1a06-4187-9cd1-4c51f5016c51
relation.isAuthorOfPublication.latestForDiscoverye94799f0-bdd0-45be-b6b2-426269f6ee46
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