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Investigating the Well-being impacts of educational technologies supported by learning analytics: An application of the initial phase of IEEE P7010 recommended practice to a set of cases

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dc.contributor.author Hakami, Eyad
dc.contributor.author Hernández Leo, Davinia
dc.date.accessioned 2021-11-26T09:23:11Z
dc.date.available 2021-11-26T09:23:11Z
dc.date.issued 2021
dc.identifier.citation Hakami E, Hernandez-Leo D. Investigating the Well-being impacts of educational technologies supported by learning analytics: An application of the initial phase of IEEE P7010 recommended practice to a set of cases. In: The impact we make: The contributions of learning analytics to learning. LAK21 Conference Proceedings; 2021 Apr 12-16; Irvine, United States of America. New York: Association for Computing Machinery; 2021. p. 269-79. DOI: 10.1145/3448139.3448165
dc.identifier.isbn 978-1-4503-8935-8
dc.identifier.uri http://hdl.handle.net/10230/49070
dc.description Comunicació presentada a: LAK21 Conference celebrat del 12 al 16 d'abril de 2021 de manera virtual.
dc.description.abstract The accelerated adoption of digital technologies by people and communities results in a close relation between, on one hand, the state of individual and societal well-being and, on the other hand, the state of the digital technologies that underpin our life experiences. The ethical concerns and questions about the impact of such technologies on human well-being become more crucial when data analytics and intelligent competences are integrated. To investigate how learning technologies could impact human well-being considering the promising and concerning roles of learning analytics, we apply the initial phase of the recently produced IEEE P7010 Well-being Impact Assessment, a methodology and a set of metrics, to allow the digital well-being of a set of educational technologies to be more comprehensively tackled and evaluated. We posit that the use of IEEE P7010 well-being metrics could help identify where educational technologies supported by learning analytics would increase or decrease well-being, providing new routes to future technological innovation in Learning Analytics research.
dc.description.sponsorship Development Fund and the National Research Agency of the Spanish Ministry of Science and Innovation under project grants TIN2017-85179- C3-3-R, RED2018- 102725-T. D. Hernández-Leo acknowledges the support by ICREA under the ICREA Academia program. E. Hakami acknowledges the grant by Jazan University, Saudi Arabia.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACM Association for Computer Machinery
dc.relation.ispartof The impact we make: The contributions of learning analytics to learning. LAK21 Conference Proceedings; 2021 Apr 12-16; Irvine, United States of America. New York: Association for Computing Machinery; 2021.
dc.rights © 2021 Association for Computing Machinery
dc.title Investigating the Well-being impacts of educational technologies supported by learning analytics: An application of the initial phase of IEEE P7010 recommended practice to a set of cases
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1145/3448139.3448165
dc.subject.keyword Digital well-being
dc.subject.keyword Learning analytics
dc.subject.keyword Ethics
dc.subject.keyword Values
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RED2018-102725-T
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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