Coping with Numbers in Crisis: STEM Students’ Experiences in Mathematics Learning During the Pandemic
DOI:
https://doi.org/10.69569/jip.2025.530Keywords:
Faith-based high school, Mathematics, Pedagogy, Phenomenology, STEMAbstract
Mathematics is a subject that requires critical understanding and problem-solving skills. However, the COVID-19 pandemic disrupted traditional classroom learning, shifting students from face-to-face instruction to remote or modular learning. This study explored the lived experiences of Grade 12 STEM students at a faith-based high school in learning Mathematics amidst the pandemic. The study aimed to investigate the challenges encountered, the lessons learned, and the coping strategies employed by STEM students. Utilizing a qualitative phenomenological approach, data were gathered through in-depth interviews, which employed unstructured guide questions to capture the students' perceptions and experiences. The responses were transcribed and analyzed thematically. Findings revealed that students faced significant challenges, including difficulty in understanding mathematical concepts, poor time management, and a lack of motivation. Despite these obstacles, students recognized that face-to-face learning provided a more effective environment for understanding Mathematics, while modular learning was often perceived merely as a compliance requirement. To overcome these challenges, students adopted self-directed learning strategies and time management techniques such as creating personal study schedules. The study concludes that while the pandemic posed substantial difficulties in Mathematics learning, it also fostered resilience and independent learning habits among students, highlighting the importance of learner support in times of educational disruption.
Downloads
References
Agarin, M. A. L. (2021). The challenges and status of modular learning: Its effect to students’ academic behavior and performance. EPRA International Journal of Multidisciplinary Research. https://tinyurl.com/y3wr796r
Agnoletto, R., & Queiroz, V. (2020). COVID-19 and the challenges in education. Centro de Estudos Sociedade e Tecnologia, Universidade de Sao Paulo Bulletin, 5(2), 12. https://tinyurl.com/54vdezcv
Aksa, J. A. (2021). Effect of modular distance learning approach to academic performance in mathematics of students in Mindanao State University–Sulu Senior High School amidst COVID-19 pandemic. Open Access Indonesia Journal of Social Sciences, 4(4), 386–409. https://doi.org/10.37275/oaijss.v4i4.64
Aksan, J. (2021). The effect of modular learning on students’ academic performance in mathematics.
Alcantara, A. (2015). Developing and evaluating mathematics modules for distance learning.
Alder, S., & Davis, Z. (2006). Opening up mathematics education research. Pythagoras, 64, Article 2–7. https://doi.org/10.4102/pythagoras.v0i64.93
Ali, R., Ghazi, S. R., Khan, M. S., Hussain, S., & Faitma, Z. T. (2010). Effectiveness of modular teaching in biology at secondary level. Asian Social Science, 6(9), 49–56. https://doi.org/10.5539/ass.v6n9p49
Anderson, L. W., Ryan, D. W., & Shapiro, B. J. (2005). The IEA classroom environment study. Pergamon Press.
Anderson, J., White, P., & Sullivan, P. (2005). Using a schematic model to represent influences on, and relationships between, teachers’ beliefs and practices. Mathematics Education Research Journal, 17(2), 9–39. https://doi.org/10.1007/BF03217412
Aristovnik, A., Keržič, D., Ravšelj, D., Tomaževič, N., & Umek, L. (2020). Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustainability, 12, 843. https://doi.org/10.3390/su12020843
Arkorful, V., & Abaidoo, N. (2015). The role of e-learning: Advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning, 12(1), 29–42.
Basilaia, G., Dgebuadze, M., Kantaria, M., & Chokhonelidze, G. (2020). Replacing the classic learning format: Universities as an immediate response to the COVID-19 virus infection in Georgia. International Journal for Research in Applied Science and Engineering Technology, 8, 23219–653. https://doi.org/10.22214/ijraset.2020.3021
Beetham, H., & Sharpe, R. (2007). Rethinking pedagogy for a digital age: Designing and delivering e-learning. Routledge. https://doi.org/10.4324/9780203961681
Boaler, J. (2016). Mathematical mindsets: Unleashing students' potential through creative math, inspiring messages and innovative teaching. Jossey-Bass.
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., & Paskevicius, M. (2020). A global outlook to the interruption of education due to COVID-19 pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), 1–126. https://doi.org/10.5281/zenodo.3878572
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE Publications.
Britton, B. K., & Tesser, A. (1991). Effects of time management practices on college grades. Journal of Educational Psychology, 83(3), 405–410. https://doi.org/10.1037/0022-0663.83.3.405
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007
Burke, J. (2020). Covid-19 practice in primary schools in Ireland: Report. https://doi.org/10.13140/RG.2.2.14091.03369
Burke, J. (2020). Modular learning and teaching: Challenges and transformations.
Cho, M., & Heron, M. L. (2015). Self-regulated learning: The role of motivation, emotion, and learning strategies in students' learning satisfaction in online learning. Distance Education, 36(2), 235–249. https://doi.org/10.1080/01587919.2015.1055054
Candelario-Apalon, Z. (2020). Students’ battle for learning amidst disruption: A phenomenology. MAESTRA Professional Journal, For, By, and Of Teachers, 2(3), 19 – 24. https://tinyurl.com/nhae9n5e
Claessens, B. J., Van Eerde, W., Rutte, C. G., & Roe, R. A. (2007). A review of time management literature. Personnel Review, 36(2), 255–276. https://doi.org/10.1108/00483480710726136
Colgan, L. (2014). Making math children will love: Building positive mathitudes to improve student achievement in mathematics.
Dangle, Y. R., & Sumaoang, J. D. (2020). The implementation of modular distance learning in Philippine secondary public schools. International Journal of Academic Multidisciplinary Research, 4(10), 100–107.
Demuyakor, J. (2020). Online learning in times of pandemic: A review of the literature. Educational Research and Reviews, 15(12), 713–728. https://doi.org/10.5897/ERR2020.4059
Dweck, C. S. (2008). Mindset: The new psychology of success. Ballantine Books.
Eady, M. J., & Lockyer, L. (2013). Tools for learning: Technology and teaching strategies. Queensland University of Technology.
Gafoor, K. A., & Kurukkan, A. (2015). Why high school students feel mathematics difficult? An exploration of affective beliefs (pp. 1–6). Paper presented at the UGC sponsored National Seminar on Pedagogy of Teacher Education: Trends and Challenges, Farook Training College, Kozhikode, Kerala, India.
Hamilton, L. S., Kaufman, J. H., & Diliberti, M. (2020). Teaching and leading through a pandemic: Key findings from the American Educator Panels Spring 2020 COVID-19 surveys. RAND Corporation. https://doi.org/10.7249/RRA168-2
Hearon, B. (2015). Stress and coping in high school students in accelerated academic curricula: Developmental trends and relationships with student success (Master’s thesis, University of South Florida). https://tinyurl.com/3awy7hw7
Hernando-Malipot, M. (2020). DepEd: Most students prefer ‘modular’ learning over online. Manila Bulletin. https://tinyurl.com/458mpey7
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review, 27. https://tinyurl.com/mry8p2m8
Huang, L., Wang, Y., & Wang, L. (2021). Learning in the pandemic: Students' engagement and motivation in online mathematics classes. Journal of Educational Computing Research, 59(8), 1453–1477. https://doi.org/10.1177/07356331211024267
König, J., Jäger-Biela, D. J., & Glutsch, N. (2020). Adapting to online teaching during COVID-19 school closure: Teacher education and teacher competence effects among early career teachers in Germany. European Journal of Teacher Education, 43(4), 608–622. https://doi.org/10.1080/02619768.2020.1809650
Lee, C.Y., & Kung, H.Y. (2018). Math self-concept and mathematics achievement: Examining gender variation and reciprocal relations among junior high school students in Taiwan. Eurasia Journal of Mathematics, Science and Technology Education, 14(4), 1239–1252.
Liu, D., Zhou, S., Lu, X., & Yang, G. (2024). Optimizing learning: A meta-analysis of time management strategies in university education. International Journal of Teaching, Education and Learning. https://doi.org/10.20319/pijtel.2024.82.91111
Martin, A. J. (2009). Motivation and engagement across the academic life span: A developmental construct validity study of elementary school, high school, and university/college students. Educational and Psychological Measurement, 69(5), 794–824. https://doi.org/10.1177/0013164409332214
Martin, A. J., & Marsh, H. W. (2008). Academic buoyancy: Towards an understanding of students’ everyday academic resilience. Journal of School Psychology, 46(1), 53–83. https://doi.org/10.1016/j.jsp.2007.01.002
Meilany, N. I., Ratu, J. P., & Ramadhan, S. (2025). The impact of learning independence on self-efficacy and academic success of elementary students in West Papua. International Journal of Elementary Education, 8(1).
Memon, G. R. (2007). Education in Pakistan: The key issues, problems and the new challenges. Journal of Management and Social Sciences, 3(1), 47–55.
Mulenga, E. M., & Marbán, J. M. (2020). Is COVID-19 the gateway for digital learning in mathematics education? Contemporary Educational Technology, 12(2), ep269. https://doi.org/10.30935/cedtech/7949
Paniagua, A., & Drent, M. (2025). Self-directed learning for optimizing sustainable language learning via mobile assisted language learning: A systematic review. Frontiers in Education.
Patton, M. Q. (1990). Qualitative evaluation and research methods (pp. 169–186, 71). Sage Publications.
Pelikan, E. R., Lüftenegger, M., Holzer, J., Korlat, S., Spiel, C., & Schober, B. (2021). Learning during COVID-19: The role of self-regulated learning, motivation, and emotion in university students’ success. Frontiers in Psychology, 12, 643957. https://doi.org/10.3389/fpsyg.2021.643957
Shernoff, D. J. (2013). Optimal learning environments to promote student engagement. Springer. https://doi.org/10.1007/978-1-4614-7089-2
Sinay, E., & Nahornick, A. (2016). Teaching and learning mathematics research series I: Effective instructional strategies (Research Report No. 16/17 08). Toronto District School Board. https://tinyurl.com/4nyd6amc
Sintema, E. J. (2020). Effect of COVID-19 on the performance of Grade 12 students: Implications for STEM education. Eurasia Journal of Mathematics, Science and Technology Education, 16(7), em1851.
Skinner, E. A., Edge, K., Altman, J., & Sherwood, H. (2003). Searching for the structure of coping: A review and critique of category systems for classifying ways of coping. Psychological Bulletin, 129(2), 216–269. https://doi.org/10.1037/0033-2909.129.2.216
Smith, M. (2020). Education in crisis: A global review of learning loss and adaptation.
Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133(1), 65–94. https://doi.org/10.1037/0033-2909.133.1.65
Syukur, A., Setiawan, A., & Natajaya, N. (2024). Self-directed learning and digital literacy in social studies learning: Efforts to improve students' critical thinking. Pedagogika, 154(2), 22-35.
Trust, T., & Whalen, J. (2020). Should teachers be trained in emergency remote teaching? Lessons learned from the COVID-19 pandemic. Journal of Technology and Teacher Education, 28(2), 189–199.
UNESCO. (2020). Distance learning solutions. https://en.unesco.org/covid19/educationresponse/solutions
Wright, J. (2002). The pickle jar theory [time management model]. A List Apart. https://alistapart.com
Yılmaz, Ç., Altun, S. A., & Olkun, Ş. (2010). Factors affecting students’ attitude towards math: ABC theory and its reflection on practice. Procedia – Social and Behavioral Sciences, 2(2), 4502–4506. https://doi.org/10.1016/j.sbspro.2010.03.720
Zajda, J. (2024). Global perspectives on education: Challenges and opportunities. Springer.
Zhao, Y., & Xu, H. (2020). COVID-19 as a catalyst for educational reform. Asia Pacific Journal of Teaching and Learning, 5(2), 45–60.
Zhu, X., & Chin, T. (2020). Education during the COVID-19 pandemic: A review. Asian Journal of Distance Education, 15(2), 1–10.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
Zimmerman, B. J., & Schunk, D. H. (2011). Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed.). Routledge.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Interdisciplinary Perspectives

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.