The Mediating Role of English Achievement in the Relationship Between Science and Mathematics Achievement Among Grade 10 Students
Main Article Content
Abstract
Background and Aim: Filipino Grade 10 students earn strong school-assigned grades yet continue to post some of the lowest mathematics scores worldwide. Because language proficiency may channel subject-matter knowledge into quantitative success, this study examined whether English achievement, operationalized as the final English subject grade, mediated the relationship between Science and Mathematics performance in a Philippine public high school.
Materials and Methods: Archival final grades for Science (X), English (M), and Mathematics (Y) were retrieved for 251 Grade 10 students enrolled in a Philippine public high school. Descriptive statistics and Pearson correlations were calculated in Jamovi. A single-mediator path model was estimated via ordinary-least-squares regression with bias-corrected bootstrapping (5,000 resamples) to obtain indirect (a × b), direct (c′), and total (c) effects.
Results: Mean grades were high (Science M = 89.8, SD = 4.6; English M = 89.1, SD = 4.6; Mathematics M = 88.5, SD = 4.4). Significant positive correlations emerged among all subjects (Science–English r = .694; Science–Math r = .514; English–Math r = .546; all p < .001). Path a (X → M) was significant (b = .616, SE = .052, p < .001), as was path b (M → Y; b = .574, SE = .135, p < .001). The indirect effect of Science on Mathematics through English was significant (b = .353, 95% CI [.18, .35]), while the direct effect remained significant (c′ = .144, SE = .056, p = .010), indicating partial mediation.
Conclusion: English achievement, measured via the dedicated English-subject grade, partially explained the Science–Mathematics linkage. This suggests that integrating language support into STEM curricula may yield measurable gains, especially in linguistically diverse settings such as the Philippines. Strengthening language proficiency within science instruction may therefore enhance mathematics outcomes at this pivotal stage of secondary education.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright on any article in the Journal of Education and Learning Reviews is retained by the author(s) under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Permission to use text, content, images, etc. of publication. Any user to read, download, copy, distribute, print, search, or link to the full texts of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose. But do not use it for commercial use or with the intent to benefit any business.

References
Al-Mutawah, M., & Fateel, M. (2018). Students’ achievement in math and science: How grit and attitudes influence? International Education Studies, 11(2), 97–105. https://doi.org/10.5539/ies.v11n2p97
Ardasheva, Y., Lamb, R., Firestone, J., & Newcomer, S. (2017). Mediation in the relationship among EL status, vocabulary, and science reading comprehension. The Journal of Educational Research, 110(6), 665–674. https://doi.org/10.1080/00220671.2016.1175407
Cummins, J. (1979). Linguistic interdependence and the educational development of bilingual children. Review of Educational Research, 49(2), 222–251.
Department of Education. (2015). Policy guidelines on classroom assessment for the K to 12 Basic Education Program (DepEd Order No. 8, s. 2015). https://www.deped.gov.ph/2015/04/01/do-8-s-2015-policy-guidelines-on-classroom-assessment-for-the-k-to-12-basic-education-program/
Gao, S., Yang, L., Long, H., & Li, D. (2020). The mediation effect of student self-efficacy between teaching approaches and science achievement: Findings from 2011 TIMSS U.S. data. Social Psychology of Education, 23(2), 385–410. https://doi.org/10.1007/s11218-019-09534-1
González, T., & Hansen, M. (2014). Investigating the relationship between STEM learning principles and student achievement in math and science. American Journal of Education, 120(2), 139–171. https://doi.org/10.1086/674376
Hakim, D. (2023). Relationship between science and mathematics student learning outcomes. Jurnal Penelitian Pendidikan IPA, 9(5), Article 3684. https://doi.org/10.29303/jppipa.v9i5.3684
Mallika, S., & Ali Mohammed, L. (2024). Mathematics through a linguistic lens: The impact of English language proficiency in solving mathematical word problems among secondary ESL students. International Journal of Emerging Issues in Social Science, Arts and Humanities, 2(2), 46–57. https://doi.org/10.60072/ijeissah.2024.v2i02.005
Martínez-Gregorio, S., Jiménez-Hernández, D., Galiana, L., Tomás, J., Reyes, B., & De Los Santos, S. (2022). Prediction of academic achievement in Dominican students: Mediational role of learning strategies and study habits and attitudes toward study. Psychology in the Schools, 59(3), 580–596. https://doi.org/10.1002/pits.22780
McMackin, M., Albers, C., Markham, M., Hall, G., & Moore, E. (2022). Predicting interim assessment outcomes among elementary-aged English learners using mathematics computation, oral reading fluency, and English proficiency levels. School Psychology Review, 51(4), 498–516. https://doi.org/10.1080/2372966X.2022.2041211
Mullis, I. V. S., Martin, M. O., Goh, S., & Cotter, K. (2020). TIMSS 2019 international results in mathematics and science. TIMSS & PIRLS International Study Center.
Organization for Economic Co-operation and Development. (2023). PISA 2022 results. OECD Publishing. https://doi.org/10.1787/88893296
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
Roslan, M. H. B., & Chen, C. J. (2022). Predicting students’ performance in English and mathematics using data-mining techniques. Education and Information Technologies, 28(2), 1427–1453. https://doi.org/10.1007/s10639-022-11259-2
Sandilos, L. E., Baroody, A. E., Rimm-Kaufman, S. E., & Merritt, E. G. (2020). Examining the relationship between English proficiency and mathematics achievement among elementary school students. Journal of Educational Psychology, 112(4), 551–574. https://doi.org/10.1037/edu0000380
Steinmayr, R., Meißner, A., Weidinger, A. F., & Wirthwein, L. (2022). Academic achievement and students’ academic engagement: A meta-analysis. Educational Psychology Review, 34(1), 1–28. https://doi.org/10.1007/s10648-021-09620-1
Zhu, Y. (2021). Reading matters more than mathematics in science learning: An analysis of the relationship between student achievement in reading, mathematics, and science. International Journal of Science Education, 44(1), 1–17. https://doi.org/10.1080/09500693.2021.2007552