2026-08-27T05:19:24Zhttps://riubu.ubu.es/oai/request

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

00925njm 22002777a 4500 dc Arnau-González, Pablo author Serrano Mamolar, Ana author Katsigiannis, Stamos author Arevalillo-Herráez, Miguel author 2023-06-30 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. 978-3-031-36336-8 978-3-031-36335-1 https://hdl.handle.net/10259/10900 10.1007/978-3-031-36336-8_99 Math word problems Algebra tutoring Intelligent tutoring systems Automatic code generation Towards Automatic Tutoring of Custom Student-Stated Math Word Problems