Comparison on the Effectiveness of Modular Learning in General Mathematics among the Senior High School Strands

Imee Borinaga Gutierrez

Abstract


This study aimed to compare the effectiveness of modular learning among senior high school strands and investigate the influence of students’ demographic profiles on their academic performances. Using One Way ANOVA, results showed a significant difference in the test scores obtained from the different strands. Results with Tukey HSD revealed that ABM performed best under modular learning, followed by STEM, GAS, ATS, and EIM, respectively. Pearson’s r revealed a significant correlation between student’s sex, monthly income, and parents’ employment status to students’ academic performance. Furthermore, the z test for two means determined that there was a significant difference in the scores of males and females. From these results, the researcher suggests that teachers handling TVL tracks must exert extra effort in delivering their mathematics lessons to close the gap in academic performance with the students from academic tracks.


Keywords


Modular; General Mathematics; Strands; Senior High School; Academic Performance

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References


Al-Mutairi, A. (2011). Factors affecting business students’ performance in arab open university: The case of kuwait. The International Journal of Business and Management, 6(5), 146-155.

Almerino, P. M., Ocampo, L. A., Abellana, D. P. M., Almerino, J. G. F., Mamites, I. O., Pinili, L. C., Tenerife, J. J. L., Sitoy, R. E., Abelgas, L. J., & Peteros, E. D. (2020). Evaluating the academic performance of K-12 students in the philippines: A standardized evaluation approach. Education Research International. https://doi.org/10.1155/2020/8877712

Carbonel, L. G., Banggawan, M. L., & Agbisit, I. (2013). Parents’ role in enhancing he academic performance of studentsin the study of mathematics in tabuk city, philippines. International Journal of Advanced Research in Management and Social Sciences, 2(8), 302-317. Retrieved from www.garph.co.uk.

Casinillo, L. F., Palen, M. A. E., Casinillo, E. L., & Batidor, P. G. (2020). Assessing senior high student's learning experiences in mathematics. Indonesian Journal of Educational Studies, 23(1), 44-60. https://doi.org/10.26858/ijes.v23i1.13437

Cerbito, A. F. (2020). Comparative analysis of mathematics proficiency and attitudes toward mathematics of senior high school student. International Journal of Scientific and Research Publications (IJSRP), 10(5), 212-222. http://dx.doi.org/10.29322/IJSRP.10.05.2020.p10125

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

Dumont, H., Trautwein, U., Ludtke, O., Newmann, M., Niggli, A., & Schnyder, I. (2012). Does parental homework involvement mediate the relationship between family background and educational outcomes? Contemporary Educational Psychology, 37(1), 55-69.

Farooq, M. S., Chaudhry, A. H., Shafiq, M., & Berhanu, G (2011). Factors affecting students‟ quality of academic performance: a case of secondary school level. Journal of Quality and Technology Management, 7(2), 1-14.

Ganley, C. M., & Lubienski, S. T. (2016). Mathematics confidence, interest, and performance: Examining gender patterns and reciprocal relations. Learning and Individual Differences, 47, 182–193. https://doi.org/10.1016/j.lindif.2016.01.002

Goetz, T., Bieg, M., Lüdtke , O., Pekrun , R., & Hall, N. C. (2013). Do girls really experience more anxiety in mathematics? Psychological Science, 24(10), 2079–2087. https://doi.org/10.1177%2F0956797613486989

Guill, K., Lüdtke, O., & Köller, O. (2017). Academic tracking is related to gains in students' intelligence over four years: Evidence from a propensity score matching study. Learning and Instruction, 47, 43-52.

Mamolo, L. (2019). Analysis of senior high school students' competency in general mathematics. Universal Journal of Educational Research, 7(9), 1938-1944. https://doi.org/10.13189/ujer.2019.070913

Manlangit P, A. M. (2020). Supercharging filipino parents is key for successful modular distance learning. FlipScience.

Paiva, P. C. P., de Paiva, H. N., Oliveira Filho, P. M. D., Lamounier, J. A., Ferreira, E. F. E., Ferreira, R. C., Kawachi, I., & Zarzar, P. M. (2014). Development and validation of a social capital questionnaire for adolescent students (SCQ-AS). PLoS ONE, 9(8), e103785. https://doi.org/10.1371/journal.pone.0103785

Taber, K S. (2016). The use of cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273-1296. https://doi.org/10.1007/s11165-016-9602-2




DOI: https://doi.org/10.46517/seamej.v11i2.119

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