RoboboITS: a Simulation-Based Tutoring System to Support AI Education through Robotics

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleAIED 2023. Artificial Intelligence in Educationes_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvGrupo Integrado de Enxeñaría (GII)es_ES
UDC.institutoCentroCITENI - Centro de Investigación en Tecnoloxías Navais e Industriaises_ES
dc.contributor.authorGuerreiro-Santalla, Sara
dc.contributor.authorCrompton, Helen
dc.contributor.authorBellas, Francisco
dc.date.accessioned2024-01-17T15:35:25Z
dc.date.embargoEndDate2024-06-30es_ES
dc.date.embargoLift2024-06-30
dc.date.issued2023-06-30
dc.descriptionThis version of the conference paper has been accepted for publication and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-36336-8_62es_ES
dc.description.abstract[Abstract]: This paper presents a novel tutoring system to educate pre-university students about AI, a key issue to develop AI in Education for Sustainable Society. With the aim of following a learning-by-doing approach to AI, we decided to focus on robotics as the main application domain for the students’ activities. Specifically, the tutoring system is based on the Robobo educational robot, and its simulation environment. A prototype version of the tutoring system, called RoboboITS, has been released and tested in two in-person sessions with 17 students in a secondary school at Virginia (USA), leading to and promising outcomes for future development.es_ES
dc.description.sponsorshipGrant TED2021-131172B-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”es_ES
dc.identifier.citationGuerreiro-Santalla, S., Crompton, H., Bellas, F. (2023). RoboboITS: A Simulation-Based Tutoring System to Support AI Education Through Robotics. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_62es_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-031-36336-8_62
dc.identifier.isbn978-3-031-36336-8
dc.identifier.urihttp://hdl.handle.net/2183/34952
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN/ Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-131172B-I00/ESes_ES
dc.relation.urihttps://doi.org/10.1007/978-3-031-36336-8_62es_ES
dc.rightsSpringer Nature’s AM terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-termses_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectAI educationes_ES
dc.subjectAI for K12es_ES
dc.subjectTutoring systemses_ES
dc.subjectPersonalized learninges_ES
dc.subjectLearning by doinges_ES
dc.subjectAutonomous roboticses_ES
dc.subjectRobotic simulationes_ES
dc.titleRoboboITS: a Simulation-Based Tutoring System to Support AI Education through Roboticses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicatione3b7030b-b748-473b-9914-a447f81bf8d2
relation.isAuthorOfPublication509f3434-b513-49a1-87ab-dce7d019f4cd
relation.isAuthorOfPublication.latestForDiscoverye3b7030b-b748-473b-9914-a447f81bf8d2

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