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

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• dc.contributor.author Delgado Kloos, Carlos
• dc.contributor.author Dimitriadis, Yannis
• dc.contributor.author Hernández Leo, Davinia
• dc.contributor.author Alario-Hoyos, Carlos
• dc.contributor.author Martínez-Monés, Alejandra
• dc.contributor.author Santos Rodríguez, Patrícia
• dc.contributor.author Muñoz-Merino, Pedro J.
• dc.contributor.author Asensio-Pérez, Juan I.
• dc.contributor.author Vicent Safont, Lluís
• dc.date.accessioned 2023-04-03T06:20:24Z
• dc.date.available 2023-04-03T06:20:24Z
• dc.date.issued 2022
• dc.description Comunicació presentada a 2022 IEEE Global Engineering Education Conference (EDUCON), celebrat del 28 al 31 de març de 2022 a Tunis, Tunísia.
• dc.description.abstract This 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.sponsorship This 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.mimetype application/pdf
• dc.identifier.citation Delgado 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.doi http://dx.doi.org/10.1109/EDUCON52537.2022.9766770
• dc.identifier.issn 2165-9559
• dc.identifier.uri http://hdl.handle.net/10230/56400
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof 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.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C31
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C32
• dc.relation.projectID info: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.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Learning Analytics
• dc.subject.keyword Artificial Intelligence
• dc.subject.keyword Trustworthiness
• dc.subject.keyword Transparency
• dc.subject.keyword Well-being
• dc.subject.keyword Human Agency
• dc.subject.keyword Accountability
• dc.title H2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion