HomeJournal of Interdisciplinary Perspectivesvol. 2 no. 8 (2024)

Strategies Employed by Senior High School Students in Learning General Mathematics

Jezrel R. Palumar

Discipline: Education

 

Abstract:

This study aimed to identify the strategies employed by students in learning General Mathematics during the pandemic and to examine the relationship of these strategies with selected variables. A descriptive-correlational research design was utilized, and systematic sampling was employed to select 126 Grade 12 respondents. Validated questionnaires were used to collect data, and statistical analyses including mean, weighted mean, t-test for independent data, Pearson correlation, Mann-Whitney U Test, KruskalWallis Test, and ANOVA were conducted. The findings revealed that the extent of students’ utilization of metacognitive, cognitive, and collaborative strategies was “high.” Additionally, their academic performance in General Mathematics was found to be at a “satisfactory” level. Further analysis showed that students with outstanding academic standing before the pandemic (a) had a higher extent of utilization of the strategies compared to those with satisfactory and fairly satisfactory standings, and (b) performed better during the pandemic than those with very satisfactory, satisfactory, and fairly satisfactory ratings. However, no significant differences were found in the strategies employed by students when grouped according to sex and strand. Moreover, the extent of strategy utilization did not have a direct relationship with academic performance. These findings suggest a need for further research into additional factors that may influence learning outcomes. Exploring other variables impacting academic success and developing targeted interventions to enhance student performance is recommended.



References:

  1. Abd Algani, Y. M. (2021). The effect of the collaborative learning technique on students’ educational performance in math. Journal for the Mathematics Education and Teaching Practices, 2(2), 93-103.
  2. Almerino Jr, P. M., Ocampo, L. A., Abellana, D. P. M., Almerino, J. G. F., Mamites, I. O., Pinili, L. C., & Peteros, E. D. (2020). Evaluating the academic performance of K‐12 students in the Philippines: A standardized evaluation approach. Education Research International, 2020(1), 8877712. doi:10.1155/2020/8877712
  3. Alova, C. A. R., & Calanza-Alova, I. M. (2022). Academic performance in general mathematics of grade 11 students: A brief report. Online Submission. doi:10.13140/RG.2.2.31975.11685
  4. Anthonysamy, L. (2021). The use of metacognitive strategies for undisrupted online learning: Preparing university students in the age of pandemic. Education and Information Technologies, 26(6), 6881-6899.
  5. Brew, E. A., Nketiah, B., & Koranteng, R. (2021). A literature review of academic performance, an insight into factors and their influences on academic outcomes of students at senior high schools. Open Access Library Journal, 8(6), 1-14. doi:0000-0002-6516-5725
  6. Busuttil, L., & Camilleri, R. (2020). Teachers’ response to the sudden shift to online learning during COVID-19 pandemic: Implications for policy and practice. Retrieved from ResearchGate
  7. Cahapay, M. B. (2020). Philippine basic education learning continuity plan: Creating space for indigenous peoples toward inclusive post-COVID-19 education. International Journal of Pedagogical Development and Lifelong Learning, 2(1). doi:10.30935/ijpdll/9294
  8. Capinding, A. T. (2022). Impact of modular distance learning on high school students’ mathematics motivation, interest/attitude, anxiety, and achievement during the COVID-19 pandemic. European Journal of Educational Research, 11(2), 917-934.
  9. Casinillo, L., Palen, M., Casinillo, E., & Batidor, P. (2020). Assessing senior high students’ learning experiences in mathematics. Indonesian Journal of Educational Studies, 23(1).
  10. Darkwa, B. F., & Antwi, S. (2021). From classroom to online: Comparing the effectiveness and student academic performance of classroom learning and online learning. Open Access Library Journal, 8(7), 1-22. doi:10.4236/oalib.1107597
  11. Department of Education. (2015). DepEd Order No. 8, series of 2015: Policy guidelines on classroom assessment for the K to 12 basic education programs.
  12. Department of Education. (2020). DepEd Order No. 12, series of 2020: Adoption of the basic education learning continuity plan for the school year 2020-2021 in light of the COVID-19 public health emergency.
  13. Gomes, C. M. A., Fleith, D. D. S., Marinho-Araujo, C. M., & Rabelo, M. L. (2020). Predictors of students’ mathematics achievement in secondary education. Psicologia: Teoria e Pesquisa, 36, e3638. doi:10.1590/0102.3772e3638
  14. Güner, P., & Erbay, H. N. (2021). Metacognitive skills and problem-solving. International Journal of Research in Education and Science, 7(3), 715-734. doi:10.46328/ijres.1594
  15. Jameel, H. T., Ali, H. H., & Phil, M. (2016). Causes of poor performance in mathematics from teachers, parents, and students’ perspective. American Scientific Research Journal for Engineering, Technology, and Sciences, 15(1), 122-136. Retrieved from asrjetsjournal.org
  16. Jovanović, J., Gašević, D., Dawson, S., Pardo, A., & Mirriahi, N. (2017). Learning analytics to unveil learning strategies in a flipped classroom. The Internet and Higher Education, 33(4), 74-85. doi:10.1016/j.iheduc.2017.02.001
  17. Kania, N., Fitriani, C., & Bonyah, E. (2023). Analysis of students’ critical thinking skills based on prior knowledge mathematics. International Journal of Contemporary Studies in Education, 2(1). doi:10.30880/ijcse.v2i1.248
  18. Kim, Y. E., Zepeda, C. D., & Butler, A. C. (2023). An interdisciplinary review of self-regulation of learning: Bridging cognitive and educational psychology perspectives. Educational Psychology Review, 35(3), 92. doi:10.1007/s10648-023-09800-x
  19. Klang, N., Karlsson, N., Kilborn, W., Eriksson, P., & Karlberg, M. (2021, August). Mathematical problem-solving through cooperative learning—the importance of peer acceptance and friendships. In Frontiers in Education (Vol. 6, p. 710296). Frontiers. doi:10.3389/feduc.2021.710296
  20. Lanuza, M. H., Hilario, F. F., Arroyo, A. M., & Lara, M. N. (2022). Gallery walk: The strategy in improving mathematics performance of the SHS in different strands of K to 12. World Wide Journal of Multidisciplinary Research and Development, 8(09), 5-13.
  21. Møgelvang, A., & Nyléhn, J. (2023). Co-operative learning in undergraduate mathematics and science education: A scoping review. International Journal of Science and Mathematics Education, 21(6), 1935-1959. doi:10.1007/s10763-022-10331-0
  22. Montague, M., Krawec, J., Enders, C., & Dietz, S. (2014). The effects of cognitive strategy instruction on math problem solving of middle-school students of varying ability. Journal of Educational Psychology, 106(2), 469. doi:10.1037/a0035176
  23. Muncer, G., Higham, P. A., Gosling, C. J., Cortese, S., Wood-Downie, H., & Hadwin, J. A. (2022). A meta-analysis investigating the association between metacognition and math performance in adolescence. Educational Psychology Review, 34(1), 301-334. doi:10.1007/s10648-021-09620-x
  24. Neroni, J., Meijs, C., Gijselaers, H. J., Kirschner, P. A., & de Groot, R. H. (2019). Learning strategies and academic performance in distance education. Learning and Individual Differences, 73, 1-7. doi:10.1016/j.lindif.2019.04.007
  25. Padernal, R. E., & Diego, C. V. (2020). Academic performance of senior high school students in pre-calculus. Philippine Social Science Journal, 3(2), 69-70. doi:0000-0002-6516-5725
  26. Ridwan, M. R., & Hadi, S. (2022). A meta-analysis study on the effectiveness of a cooperative learning model on vocational high school students’ mathematics learning outcomes. Participatory Educational Research, 9(4), 396-421. doi:10.17275/per.22.97.9.4
  27. Rodriguez, S., Regueiro, B., Piñeiro, I., Estévez, I., & Valle, A. (2020). Gender differences in mathematics motivation: Differential effects on performance in primary education. Frontiers in Psychology, 10, 3050. doi:10.3389/fpsyg.2019.03050
  28. Sales, S. L. T. (2024). Dimensionality of strategies in learning mathematics among engineering students: An exploratory factor analysis. TWIST, 19(1), 445-453. doi:10.5281/zenodo.10049652#111
  29. Saya-ang, R. (2023). Blended learning approach: Its effectiveness in teaching.
  30. Semeraro, C., Giofrè, D., Coppola, G., Lucangeli, D., & Cassibba, R. (2020). The role of cognitive and non-cognitive factors in mathematics achievement: The importance of the quality of the student-teacher relationship in middle school. PLOS ONE, 15(4), e0231381.
  31. Simorangkir, D. (2018). The effect of online learning on students’ metacognitive ability in mathematics learning. Retrieved from ResearchGate
  32. Spitzer, M. W. H., & Musslick, S. (2021). Academic performance of K-12 students in an online-learning environment for mathematics increased during the shutdown of schools in wake of the COVID-19 pandemic. PLOS ONE, 16(8), e0255629. doi:10.137/journal.pone.0255629
  33. Sutarto, S., Sari, D. P., & Fathurrochman, I. (2020). Teacher strategies in online learning to increase students’ interest in learning during COVID-19 pandemic. Jurnal Konseling Dan Pendidikan, 8(3), 129-137. doi:10.29210/147800
  34. Uppal, N., & Kumar, A. (2020). Promoting metacognitive learning strategies: A necessity during pandemic. DRSR, 10(11), 30-5. Retrieved from ResearchGate
  35. Warsah, I., Morganna, R., Uyun, M., Afandi, M., & Hamengkubuwono, H. (2021). The impact of collaborative learning on learners’ critical thinking skills. International Journal of Instruction, 14(2), 443-460.
  36. Xie, F., Yang, Y., & Xiao, C. (2023). Gender-math stereotypes and mathematical performance: The role of attitude toward mathematics and math self-concept. European Journal of Psychology of Education, 38(2), 695-708. doi:10.1007/s10212-022-00631-y
  37. Zakariya, Y. F., Nilsen, H. K., Bjørkestøl, K., & Goodchild, S. (2023). Analysis of relationships between prior knowledge, approaches to learning, and mathematics performance among engineering students. International Journal of Mathematical Education in Science and Technology, 54(6), 1015-1033. doi:10.1080/0020739X.2021.1984596
  38. Zhao, Y., Ding, Y., Shen, Y., & Liu, W. (2022). Gender difference in psychological, cognitive, and behavioral patterns among university students during COVID-19: A machine learning approach. Frontiers in Psychology, 13, 772870. doi:10.3389/fpsyg.2022.772870
  39. Zhu, N. (2015). Cognitive strategy instruction for mathematical word problem-solving of students with mathematics disabilities in China. International Journal of Disability, Development and Education, 62(6), 608-627. doi:10.1080/1034912X.2015.1077935.