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Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School

dc.contributor.authorGuerreiro-Santalla, Sara
dc.contributor.authorDuraes, Dalila A
dc.contributor.authorCrompton, Helen
dc.contributor.authorNovais, Paulo
dc.contributor.authorBellas, Francisco
dc.date.accessioned2024-01-17T16:01:02Z
dc.date.issued2023-12-15
dc.identifier.citationGuerreiro-Santalla, S., Duraes, D., Crompton, H., Novais, P., Bellas, F. (2023). Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School. In: Moniz, N., Vale, Z., Cascalho, J., Silva, C., Sebastião, R. (eds) Progress in Artificial Intelligence. EPIA 2023. Lecture Notes in Computer Science(), vol 14115. Springer, Cham. https://doi.org/10.1007/978-3-031-49008-8_1es_ES
dc.identifier.isbn978-3-031-49007-1
dc.identifier.urihttp://hdl.handle.net/2183/34954
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/10.1007/978-3-031-49008-8_1es_ES
dc.description.abstract[Abstract]: This paper presents the first results on the validation of a new Adaptive E-learning System, focused on providing personalized learning to secondary school students in the field of education about AI by means of an adaptive interface based on a 3D robotic simulator. The prototype tool presented here has been tested at schools in USA, Spain, and Portugal, obtaining very valuable insights regarding the high engagement level of students in programming tasks when dealing with the simulated interface. In addition, it has been shown the system reliability in terms of adjusting the students’ learning paths according to their skills and competences in an autonomous fashion.es_ES
dc.description.sponsorshipThe work of D. Durães and P. Novais has been supported by FCT–Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. The work of F. Bellas was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by the “European Union NextGenerationEU/ PRTR”. The "Programa de ayudas a la etapa predoctoral" from Xunta de Galicia supported this work through Sara Guerreiro´s grant. Finally, F. Bellas and S. Guerreiro- Santalla wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01).es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e Tecnologia; UIDB/00319/2020es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo: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/10.1007/978-3-031-49008-8_1es_ES
dc.rightsSpringer Nature’s AM terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-termses_ES
dc.subjectAdaptive e-learninges_ES
dc.subjectIntelligent tutoring systemes_ES
dc.subjectPersonalized learninges_ES
dc.subjectAdaptive interfaceses_ES
dc.subjectAI educationes_ES
dc.subjectRobot simulationes_ES
dc.titleSimulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary Schooles_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/embargoedAccesses_ES
dc.date.embargoEndDate2024-12-15es_ES
dc.date.embargoLift2024-12-15
dc.identifier.doihttps://doi.org/10.1007/978-3-031-49008-8_1
UDC.conferenceTitleEPIA 2023. Progress in Artificial Intelligencees_ES


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