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Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction

Artigo2025

Jingxi Liu; Daner Sun; Jin Sun; Jingyun Wang; Philip Leung Ho Yu

Metadados apenas Página oficial: Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction (abre em nova aba)

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Resumo

Mathematics word problem solving is a critical component of elementary education, yet many students encounter persistent difficulties in this area due to the combined cognitive demands of linguistic comprehension and mathematical reasoning. While previous studies have explored various pedagogical strategies to enhance problem-solving skills, the integration of generative artificial intelligence (GenAI) in this domain remains underexplored. This study introduces the ChatGPT-supported Mathematics Problem-Solving System (ChatGPT-MPS), a GenAI-enabled learning environment designed to support primary students in developing problem-solving strategies and deepening conceptual understanding. To evaluate its effectiveness, a quasi-experimental design was employed involving 104 fifth-grade students, assigned to an experimental group (using ChatGPT-MPS) and a control group (traditional instruction). Both groups completed a pre- and post-tests of MPS and interests scale to evaluate their word problem-solving proficiency and learning interests. Quantitively data analysis and its results showed that the experimental group exhibited significantly greater improvements in post-test performance compared to the control group. In addition, student feedback revealed increased interest, perceived value, and motivation when engaging with the ChatGPT-MPS learning environment. These findings provide empirical support for the use of GenAI in mathematics education and demonstrate the potential of ChatGPT-MPS to enhance students' mathematical thinking and engagement in problem-solving tasks. The study contributes to the growing body of research on AI-driven personalized learning in primary education, offering insights into the design and implementation of effective GenAI-enabled learning environments.

Dados da obra

Tipo
Artigo
Periódico
Computers and Education: Artificial Intelligence, v. 9, p. 100438
Editora
Elsevier
Ano
2025 (2025-12)
Idioma
en
Palavras-chave
ChatGPT; Generative artificial intelligence; Mathematics word problem solving; Personalized learning; Primary mathematics education
Temas
Resolução de Problemas
DOI
10.1016/j.caeai.2025.100438
ISSN
2666-920X
Acesso
Metadados apenas
Fontes
DOAJ — Directory of Open Access Journals
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
LIU, Jingxi et al.. Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction. Computers and Education: Artificial Intelligence, v. 9, p. 100438, 2025. DOI: https://doi.org/10.1016/j.caeai.2025.100438.

APA

Liu, J., Sun, D., Sun, J., Wang, J., & Yu, P. L. H. (2025). Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction. Computers and Education: Artificial Intelligence, 9, 100438. https://doi.org/10.1016/j.caeai.2025.100438

BibTeX
@article{liu2025,
  author = {Liu, Jingxi and Sun, Daner and Sun, Jin and Wang, Jingyun and Yu, Philip Leung Ho},
  title = {Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction},
  year = {2025},
  journal = {Computers and Education: Artificial Intelligence},
  volume = {9},
  pages = {100438},
  publisher = {Elsevier},
  doi = {10.1016/j.caeai.2025.100438},
  language = {en}
}
RIS
TY  - JOUR
AU  - Liu, Jingxi
AU  - Sun, Daner
AU  - Sun, Jin
AU  - Wang, Jingyun
AU  - Yu, Philip Leung Ho
TI  - Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction
PY  - 2025
JO  - Computers and Education: Artificial Intelligence
VL  - 9
SP  - 100438
DO  - 10.1016/j.caeai.2025.100438
LA  - en
ER  -

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS

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