Perceived School Learning Environment and Academic Performance in Science among Grade 10 Learners: A Descriptive-Correlational Study

Authors

  • Rumton Abenes Teofila C. Quibranza National High School, Schools Division of Lanao Del Norte, Saint Columban College Author

DOI:

https://doi.org/10.5281/zenodo.19953082

Keywords:

academic performance, Grade 10 learners, school learning environment, Science achievement, descriptive-correlational study

Abstract

This study examined the perceived school learning environment and academic performance in Science among Grade 10 learners in one Department of Education school in the Division of Lanao del Norte during School Year 2025 to 2026. Specifically, it determined the level of learners’ perceived school learning environment, described their academic performance in Science, and tested whether a significant relationship existed between the two variables. The study employed a descriptive-correlational research design and used complete enumeration to include all Grade 10 learners enrolled during the study period. Learners’ perceived school learning environment was measured using an adapted Learning Environment Scale, while academic performance in Science was determined using the mean of the learners’ first, second, and third quarter Science grades. Data were analyzed using the mean, standard deviation, and Pearson product-moment correlation coefficient. Results revealed that learners’ perceived school learning environment was low, with a mean of 2.02 and a standard deviation of 0.25, whereas their academic performance in Science was satisfactory, with a mean of 83.91 and a standard deviation of 4.54. Further analysis showed a very weak positive relationship between perceived school learning environment and Science performance, but the correlation was not statistically significant (r = .10, p = .404). The findings suggest that although learners viewed their school learning environment less favorably than desired, such perceptions did not reliably explain their Science grades in this context. The study concludes that improving Science performance may require not only stronger classroom learning conditions but also more direct instructional support, including remediation, instructional alignment, and differentiated learning interventions.

References

Ahmad, N., Alias, F. A., & Abdul Razak, N. A. (2023). Understanding population and sample in research: Key concepts for valid conclusions. SIG e-Learning@CS.

Aldridge, J. M., & McChesney, K. (2018). The relationships between school climate and adolescent mental health and wellbeing: A systematic literature review. International Journal of Educational Research, 88, 121–145. https://doi.org/10.1016/j.ijer.2018.01.012

Aldridge, J. M., Fraser, B. J., & Ntuli, S. (2019). Utilizing learning environment assessments to improve science students’ outcomes. Learning Environments Research, 22(1), 1–21. https://doi.org/10.1007/s10984-018-9259-8

Australian Bureau of Statistics. (2023, February 2). Census and sample.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140. https://doi.org/10.1080/10888691.2018.1537791

Department of Education. (2019). PISA 2018 Philippine national report. https://www.deped.gov.ph/wp-content/uploads/2019/12/PISA-2018-Philippine-National-Report.pdf

Ford, D. Y. (1995). A study of achievement and underachievement among gifted, potentially gifted, and average African-American students (Research Monograph 95128). The National Research Center on the Gifted and Talented, University of Connecticut.

Hattie, J. (2017). Visible learning for science, grades K–12: What works best to optimize student learning. Corwin Press.

Konold, T. R., Cornell, D., Jia, Y., & Malone, M. (2018). School climate, student engagement, and academic achievement: A latent variable, multilevel multi informant examination. AERA Open, 4(4), 1–17. https://doi.org/10.1177/2332858418815661

Koth, C. W., Bradshaw, C. P., & Leaf, P. J. (2008). A multilevel study of predictors of student perceptions of school climate: The effect of classroom-level factors. Journal of Educational Psychology, 100(1), 96–104. https://doi.org/10.1037/0022-0663.100.1.96

Maxwell, S., Reynolds, K. J., Lee, E., Subasic, E., & Bromhead, D. (2017). The impact of school climate and school identification on academic achievement: Multilevel modeling with student and teacher data. Frontiers in Psychology, 8, 2069. https://doi.org/10.3389/fpsyg.2017.02069

OECD. (2019). PISA 2018 results (Volume I): What students know and can do. OECD Publishing. https://doi.org/10.1787/5f07c754-en

Organisation for Economic Co-operation and Development. (2019). PISA 2018 results (Volume I): What students know and can do. OECD Publishing. https://doi.org/10.1787/5f07c754-en

Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860

Shindler, J., Jones, A., Williams, A. D., Taylor, C., & Cardenas, H. (2016). The school climate, student achievement connection: If we want achievement gains, we need to begin by improving the climate. Journal of School Administration Research and Development, 1(1), 9–16. https://files.eric.ed.gov/fulltext/EJ1158154.pdf

Trinidad, J. E. R. (2020). Material resources, school climate, and achievement variations in the Philippines: Insights from PISA 2018. International Journal of Educational Development, 75, 102174. https://doi.org/10.1016/j.ijedudev.2020.102174

Vulperhorst, J. P., Lutz, C., de Kleijn, R., & van Tartwijk, J. (2018). Disentangling the predictive validity of high school grades for academic success in university. Assessment & Evaluation in Higher Education, 43(3), 399–414. https://doi.org/10.1080/02602938.2017.1353586

Wang, M. T., & Degol, J. L. (2016). School climate: A review of the construct, measurement, and impact on student outcomes. Educational Psychology Review, 28, 315–352. https://doi.org/10.1007/s10648-015-9319-1

Wang, M. T., Degol, J. L., Amemiya, J., Parr, A., & Guo, J. (2020). Classroom climate and children’s academic and psychological wellbeing: A systematic review and meta-analysis. Developmental Review, 57, 100912. https://doi.org/10.1016/j.dr.2020.100912

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Published

2026-05-01

How to Cite

Perceived School Learning Environment and Academic Performance in Science among Grade 10 Learners: A Descriptive-Correlational Study. (2026). The International Review of Multidisciplinary Research, 1(4). https://doi.org/10.5281/zenodo.19953082

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