Research article Topical Sections

Implementation of a modular learning approach in mathematics: An examination of students' performance, perceptions, and experiences


  • Published: 19 August 2026
  • The COVID-19 pandemic transformed educational delivery in the Philippines, leading to the widespread use of modular learning, particularly in contexts with limited access to digital instruction. Although adopted as an emergency modality, modular learning has potential as a flexible learning approach for mathematics, though few researchers have investigated its effectiveness and student experiences in a post-pandemic setting. In this study, I examined modular learning in mathematics by analyzing the cognitive demands embedded in the modules, describing students' conceptual performance after implementation, and exploring students' perceptions and learning experiences, including differences between high- and low-performing learners. I employed a descriptive mixed-methods design using a one-group posttest-only approach with qualitative support. Participants were 123 Grade 10 students from a laboratory high school in Northern Mindanao, Philippines, during the second quarter of academic year 2024–2025. Quantitative data were collected through a 45-item posttest and a perception questionnaire and analyzed using descriptive statistics, while qualitative data from semi-structured open-ended questions administered to purposively select high- and low-performing students were analyzed thematically. Posttest results yielded a mean score of 27.66 out of 45 (61.5%) with a standard deviation of 6.72, indicating moderate variation in student performance. Students also reported favorable perceptions of the modular approach (M = 4.06). Thematic analysis generated seven themes: collaborative learning, use of resources, problem-solving strategies, benefits of the modality, aspects to retain or improve, challenges encountered, and support mechanisms. My findings suggest that modular learning provides opportunities for engagement, self-directed learning, and collaboration in mathematics while emphasizing the need for enhanced scaffolding and contextualized tasks to strengthen conceptual understanding and application. The study contributes to the growing literature on post-pandemic modular learning by providing evidence of students' performance, perceptions, and experiences with modular mathematics learning.

    Citation: Alexis Michael B. Oledan. Implementation of a modular learning approach in mathematics: An examination of students' performance, perceptions, and experiences[J]. STEM Education, 2026, 6(5): 885-907. doi: 10.3934/steme.2026035

    Related Papers:

  • The COVID-19 pandemic transformed educational delivery in the Philippines, leading to the widespread use of modular learning, particularly in contexts with limited access to digital instruction. Although adopted as an emergency modality, modular learning has potential as a flexible learning approach for mathematics, though few researchers have investigated its effectiveness and student experiences in a post-pandemic setting. In this study, I examined modular learning in mathematics by analyzing the cognitive demands embedded in the modules, describing students' conceptual performance after implementation, and exploring students' perceptions and learning experiences, including differences between high- and low-performing learners. I employed a descriptive mixed-methods design using a one-group posttest-only approach with qualitative support. Participants were 123 Grade 10 students from a laboratory high school in Northern Mindanao, Philippines, during the second quarter of academic year 2024–2025. Quantitative data were collected through a 45-item posttest and a perception questionnaire and analyzed using descriptive statistics, while qualitative data from semi-structured open-ended questions administered to purposively select high- and low-performing students were analyzed thematically. Posttest results yielded a mean score of 27.66 out of 45 (61.5%) with a standard deviation of 6.72, indicating moderate variation in student performance. Students also reported favorable perceptions of the modular approach (M = 4.06). Thematic analysis generated seven themes: collaborative learning, use of resources, problem-solving strategies, benefits of the modality, aspects to retain or improve, challenges encountered, and support mechanisms. My findings suggest that modular learning provides opportunities for engagement, self-directed learning, and collaboration in mathematics while emphasizing the need for enhanced scaffolding and contextualized tasks to strengthen conceptual understanding and application. The study contributes to the growing literature on post-pandemic modular learning by providing evidence of students' performance, perceptions, and experiences with modular mathematics learning.



    加载中


    [1] Bustillo, E. and Aguilos, M., The challenges of modular learning in the wake of COVID-19: A digital divide in the Philippine countryside revealed. Education Sciences, 2022; 12(7): 449. https://doi.org/10.3390/educsci12070449 doi: 10.3390/educsci12070449
    [2] Jou, Y.T., Mariñas, K.A. and Saflor, C.S., Assessing cognitive factors of modular distance learning of K-12 students amidst the COVID-19 pandemic towards academic achievements and satisfaction. Behavioral Sciences, 2022; 12(7): 200. https://doi.org/10.3390/bs12070200 doi: 10.3390/bs12070200
    [3] Brandt, W.C., Measuring student success skills: A review of the literature on self-directed learning. National Center for the Improvement of Educational Assessment, 2020. Available from: https://files.eric.ed.gov/fulltext/ED607782.pdf
    [4] Fernandez, I., Codilla, V., Padillo, G., Tenerife, J. and Manguilimotan, R., Implementation of modular distance learning in public elementary schools during the COVID-19 pandemic. Journal of Humanities and Social Sciences Studies, 2025, 7(3): 68–77. https://doi.org/10.32996/jhsss.2025.7.3.7 doi: 10.32996/jhsss.2025.7.3.7
    [5] Abao, Q.R.H. and Alcantara, G.A., Why structured instruction matters: A comparative effect of four instructional models on mathematics achievement in printed modular distance learning. International Journal of Learning, Teaching and Educational Research, 2026, 25(3): 194–217. https://doi.org/10.26803/ijlter.25.3.9 doi: 10.26803/ijlter.25.3.9
    [6] Cercado, R.P., Self-concept, learning styles and scholastic performance of Grade 9 mathematics learners in modular distance learning modality (ERIC No. ED653978), Education Resources Information Center, 2023.
    [7] Candelario-Aplaon, Z., Lasic, J.N., Amrad, M., Alejandro, A. and Mina, A.M., Coping with numbers in crisis: STEM students' experiences in mathematics learning during the pandemic. Journal of Interdisciplinary Perspectives, 2025, 3(9): 332–341. https://doi.org/10.69569/jip.2025.530 doi: 10.69569/jip.2025.530
    [8] Hebebci, M., Innovative practices in STEM education: Emerging technologies, pedagogies and learning models, ISRES Publishing, 2025.
    [9] Rolwes, A., Stellbauer, P., Lungershausen, U., Cubela, D., Böhm, K. and Neis, P., MAATSE: Prototyping and evaluating an open and modular e-assessment tool for STEM education. Proceedings of the IEEE Global Engineering Education Conference (EDUCON), 2023, 1–6. https://doi.org/10.1109/GECon58119.2023.10295151 doi: 10.1109/GECon58119.2023.10295151
    [10] Duran, R.C. and Sumagang, E., STEM students' experiences in modular distance learning amidst pandemic: Basis for academic interventions. Asia Pacific Journal of Advanced Education and Technology, 2022, 1(2): 38–53. https://doi.org/10.54476/apjaetvol1issue2jun202284540 doi: 10.54476/apjaetvol1issue2jun202284540
    [11] Pokhrel, M. and Sharma, L., Investigating students' perceptions of self-directed learning in mathematics at the basic school level. Journal of Mathematics and Science Teacher, 2024, 4(3): em066. https://doi.org/10.29333/mathsciteacher/14616 doi: 10.29333/mathsciteacher/14616
    [12] Manaud, J.P. and Aggabao, A.H.G., Self-directed learning approach in mathematics. Kasetsart Journal of Social Sciences, 2024, 45(1): 53–62. https://doi.org/10.34044/j.kjss.2024.45.1.06 doi: 10.34044/j.kjss.2024.45.1.06
    [13] Meniano, K.R.C. and Tan, R.G., Challenges in studying mathematics using self-learning module during COVID-19 pandemic. American Journal of Educational Research, 2022, 10(4): 182–187. https://doi.org/10.12691/education-10-4-4 doi: 10.12691/education-10-4-4
    [14] Precellas, L.B. and Napil, M., Constructivist learning environment, critical thinking motivation, self-directed learning readiness, and students' engagement: A structural equation model. Asian Journal of Advanced Research and Reports, 2024, 18(11): 124–141. https://doi.org/10.9734/ajarr/2024/v18i11781 doi: 10.9734/ajarr/2024/v18i11781
    [15] Kharroubi, S., Conceptual review: Cultivating learner autonomy through self-directed learning and self-regulated learning: A socio-constructivist exploration. International Journal of Language and Literary Studies, 2024, 6: 276–296. https://doi.org/10.36892/ijlls.v6i2.1649 doi: 10.36892/ijlls.v6i2.1649
    [16] Wei, M., The implications of the zone of proximal development for English teaching. Lecture Notes in Education Psychology and Public Media, 2024, 36: 87–90.
    [17] Sozio, G., Agostinho, S., Tindall-Ford, S. and Paas, F., Enhancing teaching strategies through cognitive load theory: Process vs. product worked examples. Education Sciences, 2024, 14(8): 813. https://doi.org/10.3390/educsci14080813 doi: 10.3390/educsci14080813
    [18] Department of Education, K to 12 curriculum guide: Mathematics (Grade 1 to Grade 10), Republic of the Philippines, 2016. Available from: https://lrmds.deped.gov.ph
    [19] Martins, R., Viseu, F. and Rocha, H., Functional thinking: A study with 10th-grade students, Education Sciences, 2023, 13(4): 335. https://doi.org/10.3390/educsci13040335 doi: 10.3390/educsci13040335
    [20] Chaurasia, P., Self-learning: A constructivist approach to enhance teaching-learning of mathematics. The International Journal of Indian Psychology, 2020, 8(4). https://doi.org/10.25215/0804.047 doi: 10.25215/0804.047
    [21] Bonggo, M.J.L., Problem-based learning in mathematics: Increasing student engagement, Nexus International Journal of Science and Education, 2024. https://doi.org/10.5281/zenodo.12529436
    [22] Ngu, B.H. and Phan, H.P., Instructional approach and acquisition of mathematical proficiency: Theoretical insights from learning by comparison and cognitive load theory. Asian Journal for Mathematics Education, 2024, 3(3): 357–379. https://doi.org/10.1177/27527263241266765 doi: 10.1177/27527263241266765
    [23] Gulkilik, H., Moyer-Packenham, P.S., Ugurlu, H.H. and Yuruk, N., Characterizing the growth of one student's mathematical understanding in a multi-representational learning environment. The Journal of Mathematical Behavior, 2020, 58: Article 100756. https://doi.org/10.1016/j.jmathb.2020.100756 doi: 10.1016/j.jmathb.2020.100756
    [24] Afni, N. and Hartono, Contextual teaching and learning (CTL) as a strategy to improve students' mathematical literacy. Journal of Physics: Conference Series, 2020, 1581(1): 012043. https://doi.org/10.1088/1742-6596/1581/1/012043 doi: 10.1088/1742-6596/1581/1/012043
    [25] Kontorovich, I., Pre-university students square-root from squared things: A commognitive account of apparent conflicts within learners' mathematical discourses. The Journal of Mathematical Behavior, 2021, 64: 100910. https://doi.org/10.1016/j.jmathb.2021.100910 doi: 10.1016/j.jmathb.2021.100910
    [26] Papadouris, J.P., Komis, V. and Lavidas, K., Errors and misconceptions of secondary school students in absolute values: A systematic literature review. Mathematics Education Research Journal, 2025, 37(3): 507–528. https://doi.org/10.1007/s13394-024-00499-9 doi: 10.1007/s13394-024-00499-9
    [27] Kop, P.M., Janssen, F.J. and Drijvers, P.H., The relation between graphing formulas by hand and students' symbol sense. Educational Studies in Mathematics, 2020,105(1): 137–161. https://doi.org/10.1007/s10649-020-09970-3 doi: 10.1007/s10649-020-09970-3
    [28] Rittle-Johnson, B., Encouraging students to explain their ideas when learning mathematics: A psychological perspective. The Journal of Mathematical Behavior, 2024, 76: 101192. https://doi.org/10.1016/j.jmathb.2024.101192 doi: 10.1016/j.jmathb.2024.101192
    [29] Molanda, J.M., Martirez, J.O. and Ambos, M., Project CLMM (Contextualized learning materials in mathematics): Its effect on the academic performance of Grade 7 students. International Journal of Science and Management Studies, 2024, 7(3): 274–283. https://doi.org/10.51386/25815946/ijsms-v7i3p117 doi: 10.51386/25815946/ijsms-v7i3p117
    [30] Aropiq, P.R., Nasrullah, A. and Yendra, N., Enhancing problem-solving skills and self-directed learning in 8th grade students of SMP PGRI Walantaka through problem-based learning. Journal Progressive of Cognitive and Ability, 2025, 4(1): 30–38. https://doi.org/10.56855/jpr.v4i1.13251 doi: 10.56855/jpr.v4i1.13251
    [31] Diago, P. and Dillo, L.R., The practices of Filipino teachers in contextualizing mathematics. International Journal of Science and Research, 2022, 11(7): 1183–1188. https://doi.org/10.21275/ART20204104 doi: 10.21275/ART20204104
    [32] Cho, P., Norris, B. and Moore-Russo, D., A study of common student practices for determining the domain and range of graphs. Investigations in Mathematics Learning, 2017, 9(3): 202–219. https://doi.org/10.1080/19477503.2017.1285658 doi: 10.1080/19477503.2017.1285658
    [33] Schifter, D. and Russell, S.J., The centrality of student-generated representation in investigating generalizations about the operations. ZDM – Mathematics Education, 2022, 54(6): 1289–1302. https://doi.org/10.1007/s11858-022-01379-x doi: 10.1007/s11858-022-01379-x
    [34] Uscanga, R., Melhuish, K. and Cook, J.P., Students' techniques for approaching defining properties of functions. Educational Studies in Mathematics, 2024,117(3): 457–484. https://doi.org/10.1007/s10649-024-10344-2 doi: 10.1007/s10649-024-10344-2
    [35] Fuentealba, C. and Cárcamo, A., The composition of functions in engineering education: an example in an algebra course. Journal of Physics: Conference Series, 2025, 3117(1): 012019. https://doi.org/10.1088/1742-6596/3117/1/012019 doi: 10.1088/1742-6596/3117/1/012019
    [36] Stevens, I.E., Ko, I., Paoletti, T., Boileau, N. and Herbst, P., Introducing inverse function to high school students: Relating convention and reasoning, Paper presented at the 42nd Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, Mazatlán, Mexico and online, 2020. https://eric.ed.gov/?id = ED629922
    [37] Oledan, A.M.B., Exploring Students' Perceptions and Experiences of the Station Rotation Model in Blended Mathematics Learning. Salud, Ciencia Y Tecnología, 2025, 5: 2287. https://doi.org/10.56294/saludcyt20252287 doi: 10.56294/saludcyt20252287
    [38] Akinbode, O.L. and Obeng-Gyasi, E., Combined effects of arsenic, cadmium, and mercury with cardiovascular disease risk: Insights from the All of Us Research Program. International Journal of Environmental Research and Public Health, 2025, 22(2): 239. https://doi.org/10.3390/ijerph22020239 doi: 10.3390/ijerph22020239
    [39] Boone, H.N. and Boone, D.A., Analyzing Likert data. Journal of Extension, 2012, 50(2): Article 48. https://doi.org/10.34068/joe.50.02.48 doi: 10.34068/joe.50.02.48
    [40] Chang, C.C. and Wang, Y.H., Using phenomenological methodology with thematic analysis to examine and reflect on commonalities of instructors' experiences in MOOCs. Education Sciences, 2021, 11(5): 203. https://doi.org/10.3390/educsci11050203 doi: 10.3390/educsci11050203
    [41] Heer, J., Fast & accurate Gaussian kernel density estimation. In IEEE VIS Short Papers, 2021, 11‒15. IEEE. https://doi.org/10.1109/VIS49827.2021.9623323
    [42] Cooksey, R.W., Descriptive statistics for summarising data. In Illustrating statistical procedures: Finding meaning in quantitative data, 2020, 61–139. Springer. https://doi.org/10.1007/978-981-15-2537-7_5
    [43] Gadingan, M.M.A., Acceptability of self-learning modules, motivation and mathematics achievement of learners. Dinkum Journal of Social Innovations, 2024, 3(12): 664–681. https://doi.org/10.71017/djsi.3.12.d-0388 doi: 10.71017/djsi.3.12.d-0388
    [44] Xie, L., Charatkamolpong, S. and Kanjanakate, S., Constructing an integrated problem-based and collaborative learning model: Empirical research on the development of fourth-grade primary school students' problem-solving and teamwork skills in mathematics class. Asian Journal of Contemporary Education, 2025, 9(1): 82–93. https://doi.org/10.55493/5052.v9i1.5318 doi: 10.55493/5052.v9i1.5318
    [45] Choycawen, M., Pagdawan, R. and Canuto, P.P., Unveiling the benefits and challenges of using printed modules during pandemic: Examining university teachers' experiences in a higher education institution. Pakistan Journal of Life and Social Sciences, 2024, 22(2): 14595–14621. https://doi.org/10.57239/PJLSS-2024-22.2.001051 doi: 10.57239/PJLSS-2024-22.2.001051
    [46] Hartawan, I.G.N.Y., Suharta, I.G.P., Sudiarta, I.G.P. and Pujawan, I.G.N., Student problem solving ability in mathematics learning: Systematic literature review. International Journal of Religion, 2024, 5(11): 3030–3037. https://doi.org/10.61707/sm1dtc57 doi: 10.61707/sm1dtc57
    [47] Man, Y.L., Hidayah, I. and Dewi, N.R., The influence of self-directed learning assisted by modules on mathematical literacy in terms of students' learning independence. Al Khawarizmi: Jurnal Pendidikan dan Pembelajaran Matematika, 2023, 7(2): 108–118. https://doi.org/10.22373/jppm.v7i2.21079 doi: 10.22373/jppm.v7i2.21079
    [48] Kulmagambetova, S., Nurmukasheva, S., Shugayeva, G., Kazhenbayeva, A. and Karabayeva, N., Assessing the effectiveness and potential of modular education in higher learning institutions. Contemporary Educational Research Journal, 2025, 15(2): 63–78. https://doi.org/10.18844/cerj.v15i2.9698 doi: 10.18844/cerj.v15i2.9698
    [49] Dargo, J. and Dimas, M., Modular distance learning: Its effect on the academic performance of learners in the new normal. JETL (Journal of Education, Teaching and Learning), 2021, 6(2): 204–210. https://doi.org/10.26737/jetl.v6i2.2672 doi: 10.26737/jetl.v6i2.2672
    [50] Pokhrel, M., Sharma, L., Poudel, M.P., Sharma, L. and Luitel, S., Empowering students through a self-directed learning pedagogy in mathematics education. Communications on Applied Nonlinear Analysis, 2024, 31(1): 238–252. https://doi.org/10.52783/cana.v31.409 doi: 10.52783/cana.v31.409
    [51] Crodua, J.J., Relationship of modular learning modality to the students' mathematics performance in the new normal environment. Journal of Mathematics and Science Teache, 2023, 3(1): em026. https://doi.org/10.29333/mathsciteacher/12824 doi: 10.29333/mathsciteacher/12824
    [52] Cortes, V., Omongos, M.G., Quevedo, J.M., Villarin, M., Yaun, K. and Segarra, M., The experiences of students in the modular and online learning: A phenomenological study. Journal of Humanities and Education Development, 2022, 4(3): 52–63. https://doi.org/10.22161/jhed.4.3.6 doi: 10.22161/jhed.4.3.6
    [53] Bautista, R.G., Optimizing classroom instruction through self-paced learning prototype. Journal of Technology and Science Education, 2015, 5(3): 184–193. https://doi.org/10.3926/jotse.162 doi: 10.3926/jotse.162
    [54] Mallillin, L.L.D., Canda, E.G. and Caday, M.A.T., Self-learning module assessment and feedback in mathematics. European Journal of Education Studies, 2024, 11(9): 426–439. https://doi.org/10.46827/ejes.v11i9.5534 doi: 10.46827/ejes.v11i9.5534
    [55] Foster, C., Burkhardt, H. and Schoenfeld, A., Crisis-ready educational design: The case of mathematics. The Curriculum Journal, 2022, 33(2): 119–138. https://doi.org/10.1002/curj.159 doi: 10.1002/curj.159
    [56] Dagdag, J.D. and Calimag, N.A., Scale development and investigation of self-directed learning readiness in mathematics among Filipino college students. Journal of Research, Policy & Practice of Teachers and Teacher Education, 2023, 13(1): 61–75. https://doi.org/10.37134/jrpptte.vol13.1.5.2023 doi: 10.37134/jrpptte.vol13.1.5.2023
    [57] Benito, S.M., Bantulo, J.S. and Haudar, F.S., Effectiveness of self-learning modules (SLM) in teaching Mathematics 3. International Journal of Recent Research in Thesis and Dissertation, 2022, 3(1): 33–45. https://doi.org/10.5281/zenodo.6497186 doi: 10.5281/zenodo.6497186
    [58] Saglam, M.H. and Goktenturk, T., Mathematically high and low performances tell us different stories: Uncovering motivation-related factors via the ecological model. Learning and Individual Differences, 2024,114: 102513. https://doi.org/10.1016/j.lindif.2024.102513 doi: 10.1016/j.lindif.2024.102513
    [59] Cheng, S., Bull, R., Burns, E.C. and Muñez, D., The highs and lows of mathematical ability: Shared and distinct longitudinal predictors of mathematical ability grouping. Learning and Individual Differences, 2024, 116: 102570. https://doi.org/10.1016/j.lindif.2024.102570 doi: 10.1016/j.lindif.2024.102570
  • Author's biography Dr. Alexis Michael Oledan is an associate professor in the Department of Science and Mathematics Education at MSU-IIT College of Education. He is also the Mathematics, Information Technology, and ABM Department Chairperson at MSU-IIT Integrated Developmental School. He earned his Ph.D. in science education, majoring in mathematics, from De La Salle University - Manila. His research focuses on mathematical creativity, open-ended tasks, ethnomathematics, and blended learning. He has presented numerous papers at international conferences. He currently leads the mathematics section of IDS in lesson study. He can be contacted at email: alexismichael.oledan@g.msuiit.edu.ph
    Reader Comments
  • © 2026 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(541) PDF downloads(63) Cited by(0)

Article outline

Figures and Tables

Figures(2)  /  Tables(3)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog