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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorUniversidad Autónoma de Madrid
dc.contributor.authorAmo Filvà, Daniel
dc.contributor.authorFox, Paul
dc.contributor.authorFonseca Escudero, David
dc.contributor.authorPoyatos, César
dc.date.accessioned2021-05-07T06:02:26Z
dc.date.accessioned2023-10-02T06:47:12Z
dc.date.available2021-05-07T06:02:26Z
dc.date.available2023-10-02T06:47:12Z
dc.date.created2020-11
dc.date.issued2020-12
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3473
dc.description.abstractRobotics technology has become increasingly common both for businesses and for private citizens. Primary and secondary schools, as a mirror of societal evolution, have increasingly integrated science, technology, engineering and math concepts into their curricula. Our research questions are: “In teaching robotics to primary and secondary school students, which pedagogical-methodological interventions result in better understanding and knowledge in the use of sensors in educational robotics?”, and “In teaching robotics to primary and secondary school students, which analytical methods related to Learning Analytics processes are proposed to analyze and reflect on students’ behavior in their learning of concepts and skills of sensors in educational robotics?”. To answer these questions, we have carried out a systematic review of the literature in the Web of Science and Scopus databases regarding robotics sensors in primary and secondary education, and Learning Analytics processes. We applied PRISMA methodology and reviewed a total of 24 articles. The results show a consensus about the use of the Learning by Doing and Project-Based Learning methodologies, including their different variations, as the most common methodology for achieving optimal engagement, motivation and performance in students’ learning. Finally, future lines of research are identified from this study.eng
dc.format.extent21 p.cat
dc.language.isoengcat
dc.publisherMDPIcat
dc.relation.ispartofSensors, 2020, Vol. 21, No. 1cat
dc.rightsAttribution 4.0 International
dc.rights© L'autor/a
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherRobòticacat
dc.subject.otherEnsenyament primari -- Innovacions tecnològiquescat
dc.subject.otherEnsenyament secundari -- Innovacions tecnològiquescat
dc.titleSystematic Review on Which Analytics and Learning Methodologies Are Applied in Primary and Secondary Education in the Learning of Robotics Sensorscat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc004
dc.subject.udc373
dc.subject.udc62
dc.identifier.doihttps://doi.org/10.3390/s21010153cat
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/2017-SGR-934cat


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Attribution 4.0 International
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