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Affiliation(s)

The Education University of Hong Kong, Hong Kong, China

ABSTRACT

The Programme for International Student Assessment (PISA) has become a pivotal global benchmark for evaluating 15-year-olds’ ability to apply academic knowledge to real-life challenges, exerting profound influences on education systems worldwide. This paper focuses on exploring the multi-dimensional impacts of PISA on mathematics learning among Hong Kong secondary school students. It first outlines PISA’s background and Hong Kong’s consistent participation and outstanding performance since 2000. Subsequently, the study analyzes Hong Kong’s core advantages in PISA under globalization, including the balanced professional development of mathematics teachers, curriculum alignment with core literacy, and the strong resilience of the education system. It also identifies critical challenges, such as the simplification of educational assessment and the erosion of the essence of education due to excessive exam-oriented tendencies. Finally, corresponding suggestions are proposed, including establishing a diversified evaluation system, endowing teachers with teaching autonomy, and relieving students’ academic pressure. This research aims to provide insights for optimizing Hong Kong’s mathematics education system and enhancing students’ mathematical competence amid global educational competition.

KEYWORDS

PISA, Hong Kong secondary school students, mathematics learning, global educational impact, educational assessment

Cite this paper

Xinchen Wang. (2026). Global Impact of Programme for International Student Assessment on Mathematics Learning of Hong Kong Secondary School Students. US-China Education Review A, January 2026, Vol. 16, No. 1, 24-29.

References

Bayirli, E. G., Kaygun, A., & Öz, E. (2023). An analysis of PISA 2018 mathematics assessment for Asia-pacific countries using educational data mining. Mathematics, 11(6), 1318. Retrieved from https://doi.org/10.3390/math11061318

Barba, A. T. P., Valeria, Z. M. A., Caserial, I. J. L., & Gaylo, D. (2024). Alignment of general mathematics curriculum to the PISA 2022 mathematics framework. Dinkum Journal of Social Innovations, 3(3), 152-161.

Hastedt, D., & Rocher, T. (2020, August 31). International large-scale assessments in education: A brief guide. IEA Compass: Briefs in education. Number 10. International Association for the Evaluation of Educational Achievement. Retrieved from https://eric.ed.gov/?id=ED608251

Huang, Y., Zhou, Y., Chen, J., & Wu, D. (2024). Applying machine learning and SHAP method to identify key influences on middle-school students’ mathematics literacy performance. Journal of Intelligence, 12(10), 93. Retrieved from https://doi.org/10.3390/jintelligence12100093

Li, J., Xue, E., & Guo, S. (2025). The effects of PISA on global basic education reform: A systematic literature review. Humanities and Social Sciences Communications, 12(1), Article 106. Retrieved from https://doi.org/10.1057/s41599-025-04403-z

Li, J., Xue, E., Zhou, W., Guo, S., & Zheng, Y. (2025). Students’ subjective well-being, school bullying, and belonging during the COVID-19 pandemic: Comparison between PISA 2018 and PISA 2022. Humanities and Social Sciences Communications, 12(1), Article 16. Retrieved from https://doi.org/10.1057/s41599-024-04340-3

Martens, K., & Niemann, D. (2013). When do numbers count? the differential impact of the PISA rating and ranking on education policy in Germany and the US. German Politics, 22(3), 314-332. Retrieved from https://doi.org/10.1080/09644008.2013.7944
55

Niu, J., Xu, H., & Yu, J. (2025). Identifying multilevel factors on student mathematics performance for Singapore, Korea, Finland, and Denmark in PISA 2022: Considering individualistic versus collectivistic cultures. Humanities and Social Sciences Communications, 12(1), Article 151. Retrieved from https://doi.org/10.1057/s41599-025-04466-y

OECD. (2019). PISA 2018 assessment and analytical framework. OECD Publishing. Retrieved from https://doi.org/10.1787/b25
efab8-en

OECD. (2022). Programme for international student assessment. Retrieved from https://www.oecd.org/pisa/

OECD. (2023). PISA 2022 technical report. OECD Publishing, Paris. Retrieved from https://www.oecd.org/pisa/data/pisa2022
technicalreport/

Özer, Y., & Anıl, D. (2011). Öğrencilerin fen ve matematik başarilarini etkileyen faktörlerin yapisal eşitlik modeli ile incelenmesi. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 41(41), 313-324.

Qiu, X., Yuan, J., Wu, J., Li, W., & Guo, J. (2024). Comparing the impact of COVID-19 on student mathematics achievement: A multilevel machine learning analysis of PISA 2022. Preprints. Retrieved from https://doi.org/10.21203/rs.3.rs-5068619/v1

Waldow, F., Takayama, K., & Sung, Y.-K. (2014). Rethinking the pattern of external policy referencing: Media discourses over the “Asian tigers” PISA success in Australia, Germany and South Korea. Comparative Education, 50(3), 302-321. Retrieved from https://doi.org/10.1080/03050068.2013.860704

Wang, X. S., Perry, L. B., Malpique, A., & Ide, T. (2023). Factors predicting mathematics achievement in PISA: A systematic review. Large-Scale Assessments in Education, 11(1), Article 24. Retrieved from https://doi.org/10.1186/s40536-023-00174-8

Wu, Y. (2025). Scientific literacy in Asia: Insights from the top-performing economies in PISA 2022. International Journal of Asian Education, 6(1), 1-16.

Xiaomin, L., & Auld, E. (2020). A historical perspective on the OECD’s “humanitarian turn”: PISA for development and the learning framework 2030. Comparative Education, 56(4), 503-521. Retrieved from https://doi.org/10.1080/03050068.2020.1781397

Yang, Y., & Zhuang, T. (2025). Mathematics teachers’ professional growth and student performance: A cross-country analysis using PISA 2022 data. Journal of Educational Technology and Innovation, 7(2), 53-66. Retrieved from https://doi.org/10.61414/ftq07872

Zhang, Y., Zhao, B., Jian, M., & Wu, X. (2025). Cognitive diagnostic analysis of mathematics key competencies based on PISA data. PLOS ONE, 20(2), e0315539. Retrieved from https://doi.org/10.1371/journal.pone.0315539

Zhu, Y., & Kaiser, G. (2022). Impacts of classroom teaching practices on students’ mathematics learning interest, mathematics self-efficacy and mathematics test achievements: A secondary analysis of Shanghai data from the international video study global teaching insights. ZDM—Mathematics Education, 54(3), 581-593. Retrieved from https://doi.org/10.1007/s11858-022-01343-9

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