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dc.contributor.authorMiguel, Jorge
dc.contributor.authorCaballé Llobet, Santiago
dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorSnasel, Vaclav
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-04-25T14:40:32Z
dc.date.available2016-04-25T14:40:32Z
dc.date.issued2015
dc.identifier.citationMiguel, J., Caballé , Santi, Xhafa, F., Snasel, V. A data visualization approach for trustworthiness in social networks for on-line learning. A: IEEE International Conference on Advanced Information Networking and Applications. "IEEE 29th International Conference on Advanced Information Networking and Applications, Gwangju, South Korea, March 25-27, 2015: proceedings". Gwangju: 2015, p. 490-497.
dc.identifier.isbn978-1-4799-7904-2
dc.identifier.urihttp://hdl.handle.net/2117/86165
dc.description(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.description.abstractUp to now, the problem of ensuring collaborative activities in e-Learning against dishonest students' behaviour has been mainly tackled with technological security solutions. Over the last years, technological security solutions have evolved from isolated security approaches based on specific properties, such as privacy, to holistic models based on technological security comprehensive solutions, such as public key infrastructures, biometric models and multidisciplinary approaches from different research areas. Current technological security solutions are feasible in many e-Learning scenarios but on-line assessment involves certain requirements that usually bear specific security challenges related to e-Learning design. In this context, even the most advanced and comprehensive technological security solutions cannot cope with the whole scope of e-Learning vulnerabilities. To overcome these deficiencies, our previous research aimed at incorporating information security properties and services into on-line collaborative e-Learning by a functional approach based on trustworthiness assessment and prediction. In this paper, we present a peer-to-peer on-line assessment approach carried out in a real on-line course developed in our real e-Learning context of the Open University of Catalonia. The design presented in this paper is conducted by our trustworthiness security methodology with the aim of building peer-to-peer collaborative activities, which enhances security e-Learning requirements. Eventually, peer-to-peer visualizations methods are proposed to manage security e-Learning events, as well as on-line visualization through peer-to-peer tools, intended to analyse collaborative relationship.
dc.format.extent8 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Ensenyament i aprenentatge::Metodologies docents::Aprenentatge cooperatiu
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Seguretat informàtica
dc.subject.lcshTeam learning approach in education
dc.subject.lcshComputer-assisted instruction
dc.subject.lcshComputer security
dc.subject.lcshSocial networks
dc.subject.otherinformation security
dc.subject.othercomputer-supported collaborative learning
dc.subject.otheron-line assessment
dc.subject.otherpeer-to-peer analysis
dc.subject.othertrustworthiness
dc.titleA data visualization approach for trustworthiness in social networks for on-line learning
dc.typeConference report
dc.subject.lemacAprenentatge--Treball en equip
dc.subject.lemacEnsenyament assistit per ordinador
dc.subject.lemacSeguretat informàtica
dc.subject.lemacXarxes socials
dc.identifier.doi10.1109/AINA.2015.226
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7098011
dc.rights.accessOpen Access
drac.iddocument17549954
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorMiguel, J., Caballé , Santi, Xhafa, F., Snasel, V.
upcommons.citation.contributorIEEE International Conference on Advanced Information Networking and Applications
upcommons.citation.pubplaceGwangju
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE 29th International Conference on Advanced Information Networking and Applications, Gwangju, South Korea, March 25-27, 2015: proceedings
upcommons.citation.startingPage490
upcommons.citation.endingPage497


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