Exploring the Relationship Between Mathematics Performance and Learn-ing Style Among Grade 8 Students

Authors

  • Evelina N. Ocampo Assistant to the Principal, Alcoy National High School, Poblacion, Alcoy, Cebu
  • Froilan D. Mobo Associate Professor V, Assistant Director, Department of Research, Development and Extension, PMMA San Narciso Zambales
  • Anesito L. Cutillas Dean of Instruction, Cebu Technological University-Argao Campus, Cebu, Philippines

DOI:

https://doi.org/10.11594/ijmaber.04.04.14

Keywords:

Grade 8 students, Learning styles, Mathematics performance, Teaching strategies, Visual learners

Abstract

This study explored the relationship between mathematics performance and learning styles among Grade 8 students in the Philippines. The study used a descriptive correlation research design to achieve its objectives, which included determining the profile of Grade 8 students, identifying their learning styles, and examining the relationship between mathematics performance and age, gender, and learning styles. The data was collected through an adapted questionnaire from David Kolb's learning style inventory. The findings revealed no significant relationship between learning styles and academic performance in mathematics. However, it is worth noting that the lack of a significant relationship does not necessarily mean that there is no relationship at all. Motivation, teacher quality, and cultural background may also influence mathematics performance. The findings suggest that educators should consider students' different learning styles when developing effective teaching strategies to enhance mathematics performance among Grade 8 students. This study contributes to the literature on mathematics education and has practical implications for educators seeking to enhance their students' mathematics performance.

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References

Bouchey, H. A., & Harter, S. (2005). Reflected appraisals, academic self-perceptions, and math/science per-formance during early adolescence. Journal of Ed-ucational Psychology, 97(4), 673–686.

Casey, B. M., & Ganley, C. M. (2021). An examination of gender differences in spatial skills and math atti-tudes in relation to mathematics success: A bio-psycho-social model. Developmental Review, 60, 100963. https://doi.org/10.1016/j.dr.2021.100963

Corcoran, R. P., & O'Flaherty, J. (2022). Social and emo-tional learning in teacher preparation: Pre-service teacher well-being. Teaching and Teacher Educa-tion, 110, 103563. https://doi.org/10.1016/j.tate.2021.103563

Crook-Rumsey, M., Howard, C. J., Hadjiefthyvoulou, F., & Sumich, A. (2022). Neurophysiological markers of prospective memory and working memory in typi-cal ageing and mild cognitive impairment. Clinical Neurophysiology, 133, 111-125. https://doi.org/10.1016/j.clinph.2021.09.019

Dix, K., Ahmed, S. K., Sniedze-Gregory, S., Carslake, T., & Trevitt, J. (2020). Effectiveness of school-based wellbeing interventions for improving academic outcomes in children and young people: A sys-tematic review protocol.

Frenzel, A. C., Pekrun, R., & Goetz, T. (2007). Girls and mathematics—A “hopeless” issue? A control-value approach to gender differences in emotions to-wards mathematics. European journal of psycholo-gy of education, 22, 497-514. https://doi.org/10.1007/BF03173468

Haataja, E. S., Tolvanen, A., Vilppu, H., Kallio, M., Pel-tonen, J., & Metsäpelto, R. L. (2023). Measuring higher-order cognitive skills with multiple choice questions–potentials and pitfalls of Finnish teach-er education entrance. Teaching and Teacher Edu-cation, 122, 103943. https://doi.org/10.1016/j.tate.2022.103943

Hakan, K. Ö. (2020). Digital transformation in higher education: a case study on strategic plans. Высшее образование в России, (3), 9-23. DOI: https://doi.org/10.31992/0869-3617-2019-29-3-9-23

Hartung, C. M., & Shapley, K. L. (2011). Gender differ-ences in mathematics achievement: Exploring the early grades and the extremes. Journal of Educa-tional Psychology, 103(2), 267–281. https://doi.org/10.1037/a0022420

Hyde, J. S., Fennema, E., & Lamon, S. J. (1990). Gender differences in mathematics performance: A meta-analysis. Psychological Bulletin, 107(2), 139–155. https://doi.org/10.1037/0033-2909.107.2.139

Kulkarni, T., & Sullivan, A. L. (2022). Academic achieve-ment and relations to externalizing behavior: Much ado about nothing?. Journal of school psy-chology, 94, 1-14. https://doi.org/10.1016/j.jsp.2022.07.004

Leist, A. K., Bar-Haim, E., & Chauvel, L. (2021). Inequality of educational opportunity at time of schooling predicts cognitive functioning in later adult-hood. SSM-population health, 15, 100837. https://doi.org/10.1016/j.ssmph.2021.100837

McLeod, S. (2010). Kolb's Learning Styles and Experien-tial Learning Cycle | Simply Psychology. Retrieved September 6, 2015, from http://www.simplypsychology.org/learning-kolb.html

Miller, A. (2022). Learning while earning: Barriers and pedagogies toward Sustainable Development Goal 4,“quality education” for child street-sellers in Si-em Reap, Cambodia. Child Abuse & Neglect, 105514. https://doi.org/10.1016/j.chiabu.2022.105514

Mitchell, A. J. (2009). A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impair-ment. Journal of psychiatric research, 43(4), 411-431. https://doi.org/10.1016/j.jpsychires.2008.04.014

Sezer, Ş., & Uzun, T. (2020). The relationship between school principals’ social-emotional education leadership and teachers’ organizational trust and job performance. International Journal of Leader-ship in Education, 1-20. https://doi.org/10.1080/13603124.2020.1849812

Suh, D. (2023). Understanding Teachers’ Perceptions of Pedagogy in Teaching Mathematics to English Lan-guage Learners (Doctoral dissertation, Walden University).

Veteska, J., Kursch, M., Svobodova, Z., Tureckiova, M., & Paulovcakova, L. (2022). Longitudinal Co-teaching Projects: Scoping Review. Orchestration of Learn-ing Environments in the Digital World, 35-53.

Wang, M. T., & Degol, J. L. (2017). Gender gap in science, technology, engineering, and mathematics (STEM): Current knowledge, implications for prac-tice, policy, and future directions. Educational psy-chology review, 29, 119-140. https://doi.org/10.1007/s10648-015-9355-x

Xi, N., & Hamari, J. (2019). Does gamification satisfy needs? A study on the relationship between gami-fication features and intrinsic need satisfac-tion. International Journal of Information Man-agement, 46, 210-221. https://doi.org/10.1016/j.ijinfomgt.2018.12.002

Xue, Y., Fang, C., & Dong, Y. (2021). The impact of new relationship learning on artificial intelligence technology innovation. International Journal of In-novation Studies, 5(1), 2-8. https://doi.org/10.1016/j.ijis.2020.11.001

Yang, W., Wong, S. H. S., Sum, R. K. W., & Sit, C. H. P. (2021). The association between physical activity and mental health in children with special educa-tional needs: A systematic review. Preventive Med-icine Reports, 23, 101419. https://doi.org/10.1016/j.pmedr.2021.101419

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Published

2023-04-21

How to Cite

Ocampo, E. N. ., Mobo, F. D. ., & Cutillas, A. L. (2023). Exploring the Relationship Between Mathematics Performance and Learn-ing Style Among Grade 8 Students. International Journal of Multidisciplinary: Applied Business and Education Research, 4(4), 1165-1172. https://doi.org/10.11594/ijmaber.04.04.14