H2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education

dc.contributor.authorDelgado Kloos, Carlos
dc.contributor.authorDimitriadis, Yannis
dc.contributor.authorHernández Leo, Davinia
dc.contributor.authorAlario-Hoyos, Carlos
dc.contributor.authorMartínez-Monés, Alejandra
dc.contributor.authorSantos Rodríguez, Patrícia
dc.contributor.authorMuñoz-Merino, Pedro J.
dc.contributor.authorAsensio-Pérez, Juan I.
dc.contributor.authorVicent Safont, Lluís
dc.date.accessioned2023-04-03T06:20:24Z
dc.date.available2023-04-03T06:20:24Z
dc.date.issued2022
dc.descriptionComunicació presentada a 2022 IEEE Global Engineering Education Conference (EDUCON), celebrat del 28 al 31 de març de 2022 a Tunis, Tunísia.
dc.description.abstractThis paper presents the H2O Learn (Hybrid and Human-Oriented Learning) project, a coordinated research project funded by the Spanish Research Agency, which just started in 2021 and will last for three years. The main goal of the H2O Learn project is to build Trustworthy and Human-Centered Learning Analytics (TaHCLA) solutions to support human stakeholders when designing, orchestrating and (self-,socially- or co-) regulating learning in Hybrid Learning (HL). The contributions of H2O Learn consider key requirements for trustworthy Artificial Intelligence (AI), as defined by the European Commission: 1) fostering human (i.e., teachers, learners…) agency; 2) enabling transparency of the Learning Analytics (LA) systems; 3) seeking socio-emotional and inclusive wellbeing; and 4) promoting accountability by enabling the assessment of algorithms and design processes.
dc.description.sponsorshipThis work was partially supported by the H2O Learn project, funded by the Spanish Ministry of Science and Innovation and by the Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) (grant numbers PID2020-112584RB-C31, PID2020-112584RBC32, and PID2020-112584RB-C33). This work also received partial support from the Madrid Regional Government through the e-Madrid-CM Project (grant number S2018/TCS4307). D. Hernández-Leo (Serra Húnter) acknowledges the support by ICREA under the ICREA Academia program.
dc.format.mimetypeapplication/pdf
dc.identifier.citationDelgado Kloos C, Dimitriadis Y, Hernández-Leo D, Alario-Hoyos C, Martínez-Monés A, Santos P, Muñoz-Merino PJ, Asensio-Pérez JI, Vicent Safont L. H2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education. In: Jemni M, Kallel I, Akkari A, editors. Proceedings of the 2022 IEEE Global Engineering Education Conference (EDUCON); 2022 Mar 28-31; Tunis, Tunisia. [Piscataway]: IEEE; 2022. p. 94-101. DOI: 10.1109/EDUCON52537.2022.9766770
dc.identifier.doihttp://dx.doi.org/10.1109/EDUCON52537.2022.9766770
dc.identifier.issn2165-9559
dc.identifier.urihttp://hdl.handle.net/10230/56400
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofJemni M, Kallel I, Akkari A, editors. Proceedings of the 2022 IEEE Global Engineering Education Conference (EDUCON); 2022 Mar 28-31; Tunis, Tunisia. [Piscataway]: IEEE; 2022. p. 94-101.
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C31
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C32
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C33
dc.rights© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. http://dx.doi.org/10.1109/EDUCON52537.2022.9766770
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordLearning Analytics
dc.subject.keywordArtificial Intelligence
dc.subject.keywordTrustworthiness
dc.subject.keywordTransparency
dc.subject.keywordWell-being
dc.subject.keywordHuman Agency
dc.subject.keywordAccountability
dc.titleH2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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