2026-04-28T21:50:59Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/109002025-09-30T00:05:32Zcom_10259_4219com_10259_5086com_10259_2604col_10259_7349

Towards Automatic Tutoring of Custom Student-Stated Math Word Problems Arnau-González, Pablo Serrano Mamolar, Ana Katsigiannis, Stamos Arevalillo-Herráez, Miguel Math word problems Algebra tutoring Intelligent tutoring systems Automatic code generation Matemáticas-Estudio y enseñanza Inteligencia artificial en la enseñanza Mathematics-Study and teaching Artificial intelligence-Educational applications Comunicación presentada en: 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3–7, 2023. Math 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. This 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. 2025-09-29T10:33:37Z 2025-09-29T10:33:37Z 2023-06-30 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion 978-3-031-36336-8 978-3-031-36335-1 https://hdl.handle.net/10259/10900 10.1007/978-3-031-36336-8_99 eng AIED 2023: Artificial Intelligence in Education, V. 1831, p. 639–644 https://doi.org/10.1007/978-3-031-36336-8_99 info: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/ info: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/ info: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/ info:eu-repo/semantics/openAccess application/pdf Springer