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dc.contributor.authorArnau-González, Pablo
dc.contributor.authorSerrano Mamolar, Ana 
dc.contributor.authorKatsigiannis, Stamos
dc.contributor.authorArevalillo-Herráez, Miguel
dc.date.accessioned2025-09-29T10:33:37Z
dc.date.available2025-09-29T10:33:37Z
dc.date.issued2023-06-30
dc.identifier.isbn978-3-031-36336-8
dc.identifier.isbn978-3-031-36335-1
dc.identifier.urihttps://hdl.handle.net/10259/10900
dc.descriptionComunicación presentada en: 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3–7, 2023.es
dc.description.abstractMath Word Problem (MWP) solving for teaching math with Intelligent Tutoring Systems (ITSs) faces a major limitation: ITSs only supervise pre-registered problems, requiring substantial manual effort to add new ones. ITSs cannot assist with student-generated problems. To address this, we propose an automated approach to translate MWPs to an ITS’s internal representation using pre-trained language models to convert MWP to Python code, which can then be imported easily. Experimental evaluation using various code models demonstrates our approach’s accuracy and potential for improvement.en
dc.description.sponsorshipThis research has received support from project TED2021- 129485B-[C42/C43], funded by the Ministry of Science and Innovation (Strategic Projects Focused on the Green and Digital Transition); project PGC2018-096463-BI00, funded by MCIN/AEI/10.13039/501100011033 and “ERDF A way of making Europe”; grant CIAPOS/2022/163, project AICO/2021/019 and Grupos de Investigaci´on Emergentes, funded by Generalitat Valenciana; Margarita Salas 2022–2024 Grant, awarded by University of Valencia [MS21-29], and by University of Burgos funded through NextGenerationEU funds; and project “AGENCY”, funded by the Engineering and Physical Sciences Research Council [EP/W032481/1], United Kingdom.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofAIED 2023: Artificial Intelligence in Education, V. 1831, p. 639–644en
dc.subjectMath word problemsen
dc.subjectAlgebra tutoringen
dc.subjectIntelligent tutoring systemsen
dc.subjectAutomatic code generationen
dc.subject.otherMatemáticas-Estudio y enseñanzaes
dc.subject.otherMathematics-Study and teachingen
dc.subject.otherInteligencia artificial en la enseñanzaes
dc.subject.otherArtificial intelligence-Educational applicationsen
dc.titleTowards Automatic Tutoring of Custom Student-Stated Math Word Problemsen
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-031-36336-8_99es
dc.identifier.doi10.1007/978-3-031-36336-8_99
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/TED2021-129485B-C43/ES/Sistemas dinámicos inteligentes centrados en el usuario para la Prevención de Riesgos Laborales/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/TED2021-129485B-C42/ES/SISTEMAS DINAMICOS INTELIGENTES CENTRADOS EN EL USUARIO PARA LA PERSONALIZACION DEL APRENDIZAJE/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2017-2020/PGC2018-096463-BI00/ES/USO DE SISTEMAS TUTORIALES INTELIGENTES PARA ESTUDIAR ASPECTOS COGNITIVOS Y AFECTIVOS EN LA ENSEÑANZA Y EL APRENDIZAJE DE LA RESOLUCION DE PROBLEMAS VERBALES/es
dc.volume.number1831es
dc.page.initial639es
dc.page.final644es
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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