National Mathematics Program and Its Relationship to Learners’ Attitude, Engagement, and Perceived Mathematical Competence: Basis for Policy Recommendations
DOI:
https://doi.org/10.65339/ijsair.V2.I3.730Keywords:
Attitude Toward Mathematics, Engagement, National Mathematics Program, Perceived Mathematical Competence, Policy Recommendations, Public Elementary Schools, Quality Education, Social Cognitive Theory, Sustainability, Expectancy–Value TheoryAbstract
This study examined the relationship between the implementation of the National Mathematics Program (NMP) and learners' attitudes toward Mathematics, engagement, and perceived mathematical competence among Key Stage 2 learners in selected public elementary schools in the northern part of the Fifth Congressional District of Cebu Province. Anchored on Bandura's Social Cognitive Theory and Expectancy–Value Theory, the study aimed to provide evidence-based policy recommendations for improving mathematics education. A descriptive–correlational quantitative research design was employed involving 301 Grade 4 to Grade 6 learners selected through complete enumeration. Data were collected using an adapted structured questionnaire based on validated instruments and analyzed using frequency counts, percentages, weighted mean, standard deviation, Pearson Product–Moment Correlation Coefficient, independent-samples t-test, and one-way Analysis of Variance (ANOVA). The findings revealed that learners demonstrated a neutral evaluation of the NMP, a positive attitude toward Mathematics, and moderate levels of engagement and perceived mathematical competence. Significant relationships were found between the implementation of the NMP and learners' mathematical self-concept, perceived usefulness, engagement, and perceived mathematical competence, while no significant relationship was found with learners' interest in Mathematics. No significant difference in program evaluation was observed according to sex, whereas significant differences existed across grade levels. Learners also experienced instructional and cognitive challenges, particularly in understanding mathematical concepts and completing Mathematics activities. The study concludes that although the NMP contributes to improving learners' attitudes, engagement, and perceived mathematical competence, its implementation requires strengthened learner-centered instructional practices, differentiated interventions, continuous monitoring, and enhanced instructional support. The study aligns with SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth) by promoting improved mathematics learning and foundational competencies. Its findings contribute to educational, policy, and community sustainability by supporting evidence-based improvements in mathematics instruction and learner outcomes.
References
Areepattamannil, S., Freeman, J. G., & Klinger, D. A. (2021). Influence of students’ self-concept and attitudes toward mathematics on achievement outcomes. International Journal of Educational Research, 109, 101816. https://doi.org/10.1016/j.ijer.2021.101816
Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181–185. https://doi.org/10.1111/1467-8721.00196
Ashcraft, M. H., & Krause, J. A. (2007). Working memory, math performance, and math anxiety. Psychonomic Bulletin & Review, 14(2), 243–248. https://doi.org/10.3758/BF03194059
Asian Development Bank. (2021). COVID-19 and education in Asia and the Pacific: Guidance note. Asian Development Bank.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
Boaler, J. (2016). Mathematical mindsets: Unleashing students’ potential through creative mathematics, inspiring messages, and innovative teaching. Jossey-Bass.
Boaler, J. (2022). Mathematical mindsets: Unleashing students’ potential through creative math, inspiring messages, and innovative teaching (2nd ed.). Jossey-Bass.
Bong, M., & Skaalvik, E. M. (2021). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 33(2), 409–429. https://doi.org/10.1007/s10648-020-09544-1
Carey, E., Hill, F., Devine, A., & Szűcs, D. (2021). The modified abbreviated Math Anxiety Scale: A valid and reliable instrument for use with children. Frontiers in Psychology, 12, 674870. https://doi.org/10.3389/fpsyg.2021.674870
Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approaches (6th 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. (2017). DepEd Order No. 16, s. 2017: Research management guidelines. Department of Education.
Department of Education. (2022). Basic education learning continuity plan implementation report. Department of Education.
Department of Education. (2022). Basic education monitoring and evaluation report. Department of Education, Philippines.
Department of Education. (2022). DepEd Memorandum No. 110, s. 2022: Implementation of learning recovery and continuity initiatives. Department of Education.
Department of Education. (2023). DepEd Order No. 13, s. 2023: Adoption of the National Learning Recovery Program (NLRP). Department of Education.
Department of Education. (2023). DepEd Order No. 13, s. 2023: Implementing guidelines on the National Mathematics Program. Department of Education.
Department of Education. (2023). K to 12 Basic Education Curriculum Guide: Mathematics. Department of Education.
Department of Education. (2023). Learning Action Cell (LAC) implementation and instructional monitoring report. Department of Education, Philippines.
Department of Education. (2023). Learning recovery and continuity plan implementation report. Department of Education.
Department of Education. (2023). National Mathematics Program implementation guidelines. Department of Education.
Desimone, L. M., & Garet, M. S. (2021). Best practices in teachers’ professional development in the United States. Psychology, Society & Education, 13(1), 1–16. https://doi.org/10.25115/psye.v13i1.5586
Dowker, A., Sarkar, A., & Looi, C. Y. (2021). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 12, 618393.
Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.
Eccles, J. S., & Wigfield, A. (2020). From expectancy–value theory to situated expectancy–value theory: A developmental perspective on motivation. Contemporary Educational Psychology, 61, 101859. https://doi.org/10.1016/j.cedpsych.2020.101859
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
Fredricks, J. A., Reschly, A. L., & Christenson, S. L. (2021). Handbook of student engagement interventions. Academic Press.
Fredricks, J. A., Wang, M. T., Schall Linn, J., Hofkens, T., Sung, H., Parr, A., & Allerton, J. (2022). Using qualitative methods to develop a multidimensional understanding of student engagement. Learning and Instruction, 80, 101620. https://doi.org/10.1016/j.learninstruc.2022.101620
García, E., & Weiss, E. (2021). The role of data-driven instruction in improving student outcomes. Economic Policy Institute.
González, A., Paoloni, P. V., & Donolo, D. (2023). Self-efficacy and academic achievement in mathematics: A meta-analytic review. Educational Psychology Review, 35(2), 1–25.
Guskey, T. R. (2020). Evaluating professional learning. Corwin Press.
Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.
Hattie, J. (2023). Visible learning: The sequel. Routledge.
Hidi, S., & Renninger, K. A. (2020). Interest development and its relation to learning and motivation. Educational Psychologist, 55(2), 79–94. https://doi.org/10.1080/00461520.2019.1658079
Hiebert, J., & Grouws, D. A. (2007). The effects of classroom mathematics teaching on students’ learning. In F. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 371–404). Information Age Publishing.
Hill, H. C., & Chin, M. J. (2022). Connections between teachers’ professional learning and mathematics instructional quality. Educational Policy, 36(3), 620–648. https://doi.org/10.1177/0895904820951111
Hill, N. E., & Tyson, D. F. (2009). Parental involvement in middle school: A meta-analytic assessment of the strategies that promote achievement. Developmental Psychology, 45(3), 740–763. https://doi.org/10.1037/a0015362
Hwang, G. J., Tu, Y. F., & Wang, X. (2023). Effects of technology-supported mathematics learning on students' engagement and achievement. Educational Technology & Society, 26(2), 1–15.
Hyde, J. S. (2014). Gender similarities and differences. Annual Review of Psychology, 65, 373–398. https://doi.org/10.1146/annurev-psych-010213-115057
Johnson, B., Christensen, L., & Turner, L. A. (2020). Educational research: Quantitative, qualitative, and mixed approaches (7th ed.). SAGE Publications.
Kraft, M. A., Blazar, D., & Hogan, D. (2021). The effect of teacher coaching on instruction and achievement: A meta-analysis of causal evidence. Review of Educational Research, 91(2), 185–215. https://doi.org/10.3102/0034654320985071
Laranang, J. A., & Bondoc, J. R. (2020). Students’ engagement in mathematics learning and academic performance. International Journal of Educational Studies, 13(2), 45–56.
Lee, J., & Hannula, M. S. (2022). Emotions in mathematics learning: A systematic review. Educational Studies in Mathematics, 109, 1–20.
Mamolo, L. A., & Sugano, S. G. C. (2023). Mathematics education in the Philippines: Challenges and opportunities under the MATATAG curriculum. Philippine Social Science Journal, 6(4), 34–45.
Marsh, H. W., Guo, J., Dicke, T., Parker, P. D., & Craven, R. G. (2021). Academic self-concept: A key construct for educational psychology. Educational Psychologist, 56(2), 1–17. https://doi.org/10.1080/00461520.2021.1902621
Matolic, M. S., et al. (2023). EDUCATOOL: A valid and reliable instrument for evaluating educational programs. Frontiers in Education, 8, Article 1314584. https://doi.org/10.3389/feduc.2023.1314584
Middleton, J. A., Jansen, A., & Goldin, G. A. (2021). Motivation and learning in mathematics. Springer.
Mullis, I. V. S., Martin, M. O., Foy, P., Kelly, D. L., & Fishbein, B. (2020). TIMSS 2019 International Results in Mathematics and Science. TIMSS & PIRLS International Study Center, Boston College.
National Council of Teachers of Mathematics. (2020). Catalyzing change in early childhood and elementary mathematics: Initiating critical conversations. NCTM.
Nguyen, T., Hsieh, Y. C., & Allen, J. (2023). Student engagement and mathematics achievement: A systematic review. Educational Research Review, 39, 100525.
Niu, W., Zhou, Y., & Fan, X. (2021). The relationship between mathematics self-concept and mathematics achievement: A meta-analysis. Educational Psychology Review, 33(4), 1629–1656.
Núñez, J. L., León, J., & Martín-Albo, J. (2024). Student motivation and engagement in mathematics: Recent advances and implications for practice. Frontiers in Education, 9, 1356842.
OECD. (2022). Education at a Glance 2022: OECD indicators. OECD Publishing. https://doi.org/10.1787/3197152b-en
OECD. (2023). PISA 2022 results (Volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en
Özdemir, A. Ş., & Önder-Özdemir, N. (2017). Mathematics self-efficacy and perceived mathematical competence among middle school students. Universal Journal of Educational Research, 5(12A), 56–64.
Putwain, D. W., Wood, P., & Pekrun, R. (2022). Achievement emotions and mathematics performance: A review of current evidence. Educational Psychology Review, 34(3), 1321–1348.
Ramirez, G., Shaw, S. T., & Maloney, E. A. (2021). Math anxiety: Past research, promising interventions, and a new interpretation framework. Educational Psychologist, 56(3), 145–164.
Reardon, S. F. (2021). Learning loss during the COVID-19 pandemic. Educational Researcher, 50(9), 655–658.
Rittle-Johnson, B., Fyfe, E. R., Loehr, A. M., & Miller, M. R. (2020). Beyond numeracy: Understanding mathematics through conceptual learning. Educational Psychology Review, 32(3), 789–806.
Rustam, R., & Kosnin, A. M. (2016). Challenges in mathematics learning: A study from school students' perspective. Universiti Teknologi Malaysia.
Schunk, D. H., & DiBenedetto, M. K. (2021). Self-efficacy and human motivation. Advances in Motivation Science, 8, 153–179.
Skaalvik, E. M., & Skaalvik, S. (2021). School motivation, self-concept, and academic achievement. Frontiers in Psychology, 12, 702092.
Sovie, M., Mensah, J., & Boateng, P. (2024). Learners’ engagement and mathematical competence in basic education. International Journal of Educational Research and Innovation, 21, 115–129.
Stufflebeam, D. L., & Zhang, G. (2017). The CIPP evaluation model: How to evaluate for improvement and accountability. Guilford Press.
Talsma, K., Schüz, B., Schwarzer, R., & Norris, K. (2024). Academic self-concept, self-efficacy, and student achievement: An updated meta-analysis. Review of Educational Research, 94(1), 45–82.
UNESCO. (2021). Reimagining our futures together: A new social contract for education. UNESCO.
UNESCO. (2022). Global Education Monitoring Report 2022: Gender Report. UNESCO.
United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. United Nations.
Usher, E. L., & Pajares, F. (2023). Self-efficacy beliefs in educational settings. In APA handbook of educational psychology (2nd ed.). American Psychological Association.
Wang, M. T., & Degol, J. (2020). School climate, motivation, and academic achievement. Educational Psychologist, 55(4), 211–230.
Wang, M. T., Fredricks, J. A., Ye, F., Hofkens, T. L., & Linn, J. S. (2021). Conceptualization and assessment of student engagement. Educational Psychologist, 56(4), 234–251.
World Bank. (2021). The State of Global Learning Poverty: 2021 Update. World Bank.
World Bank. (2022). Collapse and Recovery: How COVID-19 Eroded Human Capital and What to Do About It. World Bank.
Yáñez-Marquina, L., & Villardón-Gallego, L. (2016). Development and validation of the Scale for Attitudes Toward Mathematics (SATMAS). Revista de Psicodidáctica, 21(2), 321–338.
