Post-pandemic online learning in Indonesian Mathematics Education: The perception-achievement relationship

Authors

DOI:

https://doi.org/10.33830/ijdmde.v3i1.13088

Keywords:

Students’ perceptions, Academic achievement, Mathematics education, Pandemic, Post-pandemic

Abstract

The COVID-19 pandemic accelerated online learning adoption in higher education, yet its longitudinal impact on mathematics education remains underexplored. This study investigated how mathematics education students' perceptions of online learning evolved between pandemic and post-pandemic periods and examined the relationship between these perceptions and academic achievement. Using an ex post facto quantitative design, we surveyed 157 undergraduate students at the Department of Mathematics, Universitas Negeri Makassar, Indonesia. Participants were stratified into two cohorts: during-pandemic and post-pandemic learners. We assessed four dimensions—resilience, infrastructure support, learning activities, and instructor competence—using structured questionnaires, complemented by semi-structured interviews for depth. Independent t-tests and linear regression analyses were conducted. Results revealed significantly more favorable perceptions among post-pandemic students, particularly regarding confidence, infrastructure adequacy, and interactive engagement. Students valued flexibility, access to materials, and opportunities for self-regulated learning. However, persistent challenges included comprehension difficulties and concerns about assessment fairness. Linear regression analysis indicated a statistically significant but weak positive relationship between perceptions and GPA (R²=.05), suggesting that while perception influences academic performance, it explains only 5% of achievement variance. These findings highlight that improvements in digital infrastructure and instructor competence enhanced student engagement, yet pedagogical strategies for conceptual understanding and authentic assessment require further development. The study contributes to understanding the evolution of online learning effectiveness beyond crisis contexts and underscores the importance of sustained investment in blended learning environments for mathematics education.

References

Adedoyin, O. B., & Soykan, E. (2020). COVID-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 1–13. https://doi.org/10.1080/10494820.2020.1813180

Aguilera-Hermida, A. P. (2020). College students’ use and acceptance of emergency online learning due to COVID-19. International Journal of Educational Research Open, 1, 100011. https://doi.org/10.1016/j.ijedro.2020.100011

Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher Education Studies, 10(3), 16–25. https://doi.org/10.5539/hes.v10n3p16

Almahasees, Z., Mohsen, K., & Amin, M. O. (2021, May). Faculty’s and students’ perceptions of online learning during COVID-19. Frontiers in education, 6, 638470. https://doi.org/10.3389/feduc.2021.638470

Almusharraf, N., & Khahro, S. H. (2020). Students’ satisfaction with online learning experiences during the COVID-19 pandemic. International Journal of Emerging Technologies in Learning (iJET), 15(21), 246–267. https://doi.org/10.3991/ijet.v15i21.15647

Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148. https://doi.org/10.1080/01587919.2018.1553562

Arikunto, S. (2010). Prosedur penelitian: Suatu pendekatan praktik (Revisi ke-13). Jakarta: Rineka Cipta.

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(20), 8438. https://doi.org/10.3390/su12208438

Bączek, M., Zagańczyk-Bączek, M., Szpringer, M., Jaroszyński, A., & Wożakowska-Kapłon, B. (2021). Students’ perception of online learning during the COVID-19 pandemic: A survey study of Polish medical students. Medicine, 100(7), e24821. https://doi.org/10.1097/MD.0000000000024821

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

Çelbiş, O., van de Laar, M., & Volante, L. (2025). Resilience in higher education during the COVID-19 pandemic: A scoping literature review with implications for evidence-informed policymaking. International Journal of Educational Research Open, 6, 100392. https://doi.org/10.1016/j.ijedro.2024.100392

Chiu, T. K. F. (2021). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Education and Information Technologies, 26, 7579–7597. https://doi.org/10.1080/15391523.2021.1891998

Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.

Crawford, J., & Cifuentes-Faura, J. (2022). Sustainability in higher education during the COVID-19 pandemic: A systematic review. Sustainability, 14(3), 1879. https://doi.org/10.3390/su14031879

Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018

Djam’an, N., Asrawati, N., Sappaile, B. I., & Sidjara, S. (2023). Development of a model of creative thinking based on mathematical literacy. World Transactions on Engineering and Technology Education, 21(4), 273–279.

Djam’an, N., Mariana, N., & Simanjorang, M. M. (2023). Trends in mathematics education research in Indonesia. In Asian Research in Mathematics Education (pp. 163–175). Springer. https://doi.org/10.1007/978-981-99-5311-2_14

El Said, G. R. (2021). How did the COVID-19 pandemic affect higher education learning experience? An empirical investigation of learners’ academic performance at a university in a developing country. Advances in Human-Computer Interaction, 1–10. https://doi.org/10.1155/2021/6649524

Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). SAGE Publications.

Gonzalez-Ramirez, J., Mulqueen, K., Zealand, R., Silverstein, S., Mulqueen, C., & BuShell, S. (2021). Emergency online learning: college students' perceptions during the COVID-19 pandemic. College Student Journal, 55(1), 29-46.

Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25 (9th ed.). Semarang: Badan Penerbit Universitas Diponegoro.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning

Isnawan, M. G., Belbase, S., & Yanuarto, W. N. (2024). Implementation of a hybrid mathematics module to minimize students’ learning obstacles when interpreting fractions. International Journal of Didactic Mathematics in Distance Education, 1(2), 83–101. https://doi.org/10.33830/ijdmde.v1i2.9555

Jung, H. Y., & Malik, R. A. (2025). Reframing student engagement in post-pandemic digital classrooms: A pedagogical resilience perspective. Technology, Pedagogy and Education, 34(1), 58–74. https://doi.org/10.1080/1475939X.2025.1134567

Kaur, R., Garg, A., & Kaur, P. (2021). Case study: Student's response towards online learning in Engineering Education during COVID-19 Pandemic. Journal of Engineering Education Transformations, 62-69. https://doi.org/10.16920/jeet/2021/v34i3/153917

Kebritchi, M., Lipschuetz, A., & Santiague, L. (2017). Issues and challenges for teaching successful online courses in higher education: A literature review. Journal of Educational Technology Systems, 46(1), 4–29. https://doi.org/10.1177/0047239516661713

Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it up: Helping children learn mathematics. National Academy Press.

Kumar, A., Krishnamurthi, R., Bhatia, S., Kaushik, K., Ahuja, N. J., Nayyar, A., & Masud, M. (2021). Blended learning tools and practices: A comprehensive analysis. Ieee Access, 9, 85151-85197. https://doi.org/10.1109/AKSES.2021.3085844

Lopez, M. J., & Tan, C. Y. (2025). Bridging the digital divide: Institutional strategies and student adaptability in online higher education. Journal of Learning Innovation and Technology, 11(2), 101–118. https://doi.org/10.1080/24751839.2025.1123456

Marotta, J., & van de Laar, M. (2024). Education as an e-resilient system: Empirical insights from stakeholder perspectives in public affairs education. Journal of Public Affairs Education, 30(4), 607–634. https://doi.org/10.1080/15236803.2024.2388919

Martin, F., & Bolliger, D. U. (2018). Engagement matters: student perceptions on the importance of engagement strategies in the online learning environment. Online Learning, 22(1), 205–222. https://doi.org/10.24059/olj.v22i1.1092

Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012. https://doi.org/10.1016/j.ijedro.2020.100012

Matsieli, M., & Mutula, S. (2024). COVID-19 and digital transformation in higher education institutions: Towards inclusive and equitable access to quality education. Education Sciences, 14(8), 819. https://doi.org/10.3390/educsci14080819

National Council of Teachers of Mathematics (NCTM). (2000). Principles and standards for school mathematics. NCTM.

Nugroho, A., Mutiaraningrum, I., Wulandari, F. D., Agung, A. S. S. N., Muliyah, P., Sari, F. W., & Surtikanti, M. W. (2025). WhatsApp-integrated student team achievement division (STAD) in teaching English communicative competence: impact on students’ performance and perception. Computer Assisted Language Learning, 1-24. https://doi.org/10.1080/09588221.2025.2479142

Prasetya, N., Gorky Sembiring, M., Sudirman, S., & Rodríguez-Nieto, C. A. (2025). Visualizing geometry: exploring the role of geogebra-assisted 6E-IM model in enhancing students’ spatial abilities. International Journal of Mathematics and Sciences Education, 3(1), 1–12. https://doi.org/10.59965/ijmsed.v3i1.176

Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2020). Online university teaching during and after the Covid-19 crisis: Refocusing teacher presence and learning activity. Postdigital science and education, 2(3), 923-945. https://doi.org/10.1007/s42438-020-00155-y

Rasilah, R., Dahlan, J. A., & Sudirman, S. (2021). Technological, pedagogical and content knowledge untuk guru matematika di era digital: literature review [Technological, pedagogical and content knowledge for mathematics teachers in the digital era: literature review]. Gema Wiralodra, 12(1), 84-94. https://doi.org/10.31943/gemawiralodra.v12i1.165

Richardson, J. C., & Swan, K. (2003). Examining social presence in online courses in relation to students' perceived learning and satisfaction. Journal of Asynchronous Learning Networks, 7(1), 68–88. https://doi.org/10.24059/olj.v7i1.1864

Sari, G. I., Winasis, S., Pratiwi, I., & Nuryanto, U. W. (2024). Strengthening digital literacy in Indonesia: Collaboration, innovation, and sustainability education. Social Sciences & Humanities Open, 10, 101100. https://doi.org/10.1016/j.ssaho.2024.101100

Shim, T. E., & Lee, S. Y. (2020). College students’ experience of emergency remote teaching due to COVID-19. Children and Youth Services Review, 119, 105578. https://doi.org/10.1016/j.childyouth.2020.105578

Singh, V., Kumar, A., & Gupta, L. (2021). Preferences for e-learning during the COVID-19 pandemic: A cross-sectional study from Central India. Journal of Education and Health Promotion, 10, 59. https://doi.org/10.4103/jehp.jehp_302_20

Sun, P.C., Tsai, R. J., Finger, G., Chen, Y.Y & Yeh, D. (2008). What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183–1202. https://doi.org/10.1016/j.compedu.2006.11.007

Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education.

Wienand, M., Wulfert, T., & Hoang, H. (2024). Design principles for e-learning platforms featuring higher-education students’ enterprise systems end-user training. Discover Education, 3(82). https://doi.org/10.1007/s44217-024-00165-z

Zakaria, E., & Nordin, N.M. (2008). The effects of mathematics anxiety on matriculation students as related to motivation and achievement. Eurasia Journal of Mathematics, Science and Technology Education, 4(1), 27–30. https://doi.org/10.12973/ejmste/75303

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Published

2025-10-29

How to Cite

Djam’an, N., Samah, N. A., & Nasrullah, N. (2025). Post-pandemic online learning in Indonesian Mathematics Education: The perception-achievement relationship. International Journal of Didactic Mathematics in Distance Education, 3(1), 1–21. https://doi.org/10.33830/ijdmde.v3i1.13088

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