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Exploration of factors affecting Australian students' mathematics grades: a multiple regression analysis based on PISA 2022 data

Artigo2025

YuKai Wei; Yi Zhang

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Resumo

IntroductionCurrently, PISA (Programme for International Student Assessment) Mathematics Grades worldwide is declining, while Australia students' performance shows an upward trend. To promote mathematics education in Australia and share educational experiences, this study explores factors that impact Australia's PISA mathematics grades significantly, and identifies ways to improve mathematics performance. Guided by Bronfenbrenner's ecological systems theory, this study develops a dual-layer nested ecosystem model, including home context, information resources, personal feature, school environment, math teaching and learning.MethodsData is from PISA 2022 datasets. The independent variables are also divided into five categories according to the theoretical framework. There are 33 variables and 6,386 pieces of data. This study uses SPSS to conduct multiple regression analysis. In this study, predictors are categorized into five models, adding one influencing factor type to each model one by one.ResultsThe factors in model 5 explain 51.1% of math grade changes. Home context has the strongest explanatory power, it explains 19.9% math grade changes. Home possession (β = 0.304) and ESCS (β = 0.266) benefit math performance. Math teaching and learning explains 17.2% of math grade changes. Mathematics self-efficacy: Formal and applied mathematics (MATHEFF) is more influential (β = 0.376).DiscussionThis study provides meaningful implications for identifying key determinants of mathematics education outcomes, informing evidence-based policy refinement, and enhancing instructional practice design. The findings offer actionable insights for stakeholders seeking to optimize mathematics learning ecosystems. To improve math achievement, Math education resource equity and scientific math teaching content are important.

Dados da obra

Tipo
Artigo
Periódico
Frontiers in Psychology, v. 16
Editora
Frontiers Media S.A.
Ano
2025 (2025-10)
Idioma
en
Palavras-chave
math education; PISA; multiple regression analysis; secondary education; mathematics education in Australia
Temas
Avaliação
DOI
10.3389/fpsyg.2025.1611350
ISSN
1664-1078
Acesso
Acesso aberto
Fontes
DOAJ — Directory of Open Access Journals
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
WEI, YuKai; ZHANG, Yi. Exploration of factors affecting Australian students' mathematics grades: a multiple regression analysis based on PISA 2022 data. Frontiers in Psychology, v. 16, 2025. DOI: https://doi.org/10.3389/fpsyg.2025.1611350.

APA

Wei, Y., & Zhang, Y. (2025). Exploration of factors affecting Australian students' mathematics grades: a multiple regression analysis based on PISA 2022 data. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1611350

BibTeX
@article{wei2025,
  author = {Wei, YuKai and Zhang, Yi},
  title = {Exploration of factors affecting Australian students' mathematics grades: a multiple regression analysis based on PISA 2022 data},
  year = {2025},
  journal = {Frontiers in Psychology},
  volume = {16},
  publisher = {Frontiers Media S.A.},
  doi = {10.3389/fpsyg.2025.1611350},
  language = {en}
}
RIS
TY  - JOUR
AU  - Wei, YuKai
AU  - Zhang, Yi
TI  - Exploration of factors affecting Australian students' mathematics grades: a multiple regression analysis based on PISA 2022 data
PY  - 2025
JO  - Frontiers in Psychology
VL  - 16
DO  - 10.3389/fpsyg.2025.1611350
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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