Analisis motivasi belajar matematika siswa melalui media google meet terhadap kemampuan pemahaman konsep matematis siswa di masa pandemi COVID-19
Abstract
Purpose: This study evaluates the correlation between learning motivation, self-regulation, and the use of Google Meet in enhancing students' mathematical concept understanding of systems of linear equations (SPLDV).Design/methodology/approach: A quantitative correlational design was employed with 32 students at SMPN 4 Tambun Selatan. Data were collected via the Mathematics Attitudes and Perceptions Survey (MAPS), self-regulation inventories, and concept mastery tests, then analyzed using Bayesian estimation and regression.Findings: Findings reveal a significant positive correlation ($r = 0.78$) between motivation and concept mastery. Motivation and self-regulation contribute 61% to learning outcomes, while synchronous interaction via Google Meet effectively mitigates mathematics anxiety and fosters creative thinking.Practical implications: Educators should integrate synchronous feedback and independent study workbooks to optimize spaced retrieval practice, ensuring long-term knowledge retention in digital environments.Originality/value: This research contributes to the literature by synthesizing psychological dispositions with synchronous technology, validating the "expert-like views" model within middle-school online mathematics education.
Purpose: Penelitian ini mengevaluasi korelasi antara motivasi belajar, kemandirian belajar, dan penggunaan Google Meet dalam meningkatkan pemahaman konsep matematis siswa pada materi Sistem Persamaan Linear Dua Variabel (SPLDV). Design/methodology/approach: Desain kuantitatif korelasional digunakan terhadap 32 siswa SMPN 4 Tambun Selatan. Data dikumpulkan melalui Mathematics Attitudes and Perceptions Survey (MAPS), inventori kemandirian, dan tes penguasaan konsep, lalu dianalisis menggunakan estimasi Bayesian dan regresi. Findings: Hasil menunjukkan korelasi positif signifikan (r = 0,78) antara motivasi dan penguasaan konsep. Motivasi dan kemandirian berkontribusi 61% terhadap hasil belajar, sementara interaksi sinkronus via Google Meet efektif memitigasi kecemasan matematis dan mendorong berpikir kreatif. Practical implications: Pengajar harus mengintegrasikan umpan balik sinkronus dan buku kerja mandiri untuk mengoptimalkan spaced retrieval practice, menjamin retensi pengetahuan jangka panjang di lingkungan digital. Originality/value: Penelitian ini berkontribusi pada literatur dengan menyintesis disposisi psikologis dan teknologi sinkronus, memvalidasi model "pandangan menyerupai ahli" dalam pendidikan matematika daring tingkat sekolah menengah.
Full text article
References
Crossref
Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., & Kievit, R. A. (2019). Raincloud plots: A multi-platform tool for robust data visualization. Wellcome Open Research, 4(63). https://doi.org/10.12688/wellcomeopenres.15191.1
Crossref
Bickerton, R. T., & Sangwin, C. J. (2021). Practical online assessment of mathematical proof. International Journal of Mathematical Education in Science and Technology. https://doi.org/10.1080/0020739X.2021.1896813
Crossref
Brame, C. J., & Biel, R. (2015). Test-enhanced learning: The potential for testing to promote greater learning in undergraduate science courses. CBE—Life Sciences Education, 14(2), 1–12. https://doi.org/10.1187/cbe.14-11-0208
Crossref
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Crossref
Budi Lestari, A. S., Aisah, S., Supriyo, & Aufin, M. (2022). Apakah keaktifan siswa dapat ditingkatkan melalu pembelajaran kooperatif dengan metode guided discovery learning? International Journal of Progressive Mathematics Education, 2(1), 1–14. https://doi.org/10.22236/ijopme.v2i1.8847
Crossref
Carlson, M., Oehrtman, M., & Engelke, N. (2010). The precalculus concept assessment: A tool for assessing students’ reasoning abilities and understandings. Cognition and Instruction, 28(2), 113–145. https://doi.org/10.1080/07370001003676587
Crossref
Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H. (2008). Spacing effects in learning a temporal ridgeline of optimal retention. Psychological Science, 19(11), 1095–1102. https://doi.org/10.1111/j.1467-9280.2008.02209.x
Crossref
Chen, X., Breslow, L., & DeBoer, J. (2018). Analyzing productive learning behaviors for students using immediate corrective feedback in a blended learning environment. Computers & Education, 117, 59–74. https://doi.org/10.1016/j.compedu.2017.09.013
Crossref
Chongchitnan, S. (2019). Electronic preparatory test for mathematics undergraduates: Implementation, results and correlations. MSOR Connections, 17(3), 5–13. https://doi.org/10.21100/msor.v17i3
Crossref
Code, W., Merchant, S., Maciejewski, W., Thomas, M., & Lo, J. (2016). The mathematics attitudes and perceptions survey: An instrument to assess expert-like views and dispositions among undergraduate mathematics students. International Journal of Mathematical Education in Science and Technology, 47(6), 917–937. https://doi.org/10.1080/0020739X.2015.1133854
Crossref
Croxford, L., Docherty, G., Gaukroger, R., & Hood, K. (2014). Widening participation at the University of Edinburgh: Contextual admissions, retention, and degree outcomes. Scottish Affairs, 23(2), 192–216. https://doi.org/10.3366/scot.2014.0017
Crossref
Dwi Octaviani, K., Indrawatiningsih, N., & Afifah, A. (2021). Kemampuan visualisasi spasial siswa dalam memecahkan masalah geometri bangun ruang sisi datar. International Journal of Progressive Mathematics Education, 1(1), 27–40. https://doi.org/10.22236/ijopme.v1i1.6583
Crossref
Engelbrecht, J., & Harding, A. (2005). Teaching undergraduate mathematics on the internet. Educational Studies in Mathematics, 58(2), 253–276. https://doi.org/10.1007/s10649-005-6457-2
Crossref
Entwistle, N., & McCune, V. (2004). The conceptual bases of study strategy inventories. Educational Psychology Review, 16(4), 325–345. https://doi.org/10.1007/s10648-004-0003-0
Crossref
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences (PNAS), 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
Crossref
Goldenberg, P., & Mason, J. (2008). Shedding light on and with example spaces. Educational Studies in Mathematics, 69(2), 183–194. https://doi.org/10.1007/s10649-008-9143-3
Crossref
Gopalan, M., Rosinger, K., & Ahn, J. B. (2020). Use of quasi-experimental research designs in education research: Growth, promise, and challenges. Review of Research in Education, 44(1), 218–243. https://doi.org/10.3102/0091732X20903302
Crossref
Hastuti, E. S., Umam, K., Eclarin, L., & Perbowo, K. S. (2021). Kecemasan siswa sekolah menengah pertama dalam menyelesaikan masalah SPLDV pada kelas virtual. International Journal of Progressive Mathematics Education, 1(1), 63–84. https://doi.org/10.22236/ijopme.v1i1.6914
Crossref
Hopkins, R. F., Lyle, K. B., Hieb, J. L., & Ralston, P. A. (2016). Spaced retrieval practice increases college students’ short- and long-term retention of mathematics knowledge. Educational Psychology Review, 28(4), 853–873. https://doi.org/10.1007/s10648-015-9349-8
Crossref
Ikram, M., Purwanto, & Parta, I. N. (2021). Analysis of the occurrence of reversible reasoning for inverse cases: A case study on the subject adjie. International Journal of Progressive Mathematics Education, 1(1), 1–15. https://doi.org/10.22236/ijopme.v1i1.6635
Crossref
Karim, A., Soebagyo, J., & Purwanto, S. E. (2021). Stochastic block model reveals maps of in applied mathematics studies using VOS viewer. International Journal of Progressive Mathematics Education, 1(2), 127–142. https://doi.org/10.22236/ijopme.v1i2.6917
Crossref
Kember, D. (2004). Interpreting student workload and the factors which shape students’ perceptions of their workload. Studies in Higher Education, 29(2), 165–184. https://doi.org/10.1080/0307507042000190778
Crossref
Kosiret, A., Indiyah, F. H., & Wijayanti, D. A. (2021). The use of generative learning model in improving students’ understanding of mathematical concepts of Al-Azhar 19 Islamic High School. International Journal of Progressive Mathematics Education, 1(1), 16–26. https://doi.org/10.22236/ijopme.v1i1.6593
Crossref
Kruschke, J. K. (2018). Rejecting or accepting parameter values in Bayesian estimation. Advances in Methods and Practices in Psychological Science, 1(2), 270–280. https://doi.org/10.1177/2515245918771304
Crossref
Kurniasih, N., Hidayani, F., Muchlis, A., & Soebagyo, J. (2021). Analisis kemandirian belajar matematika siswa SMA kelas XI selama pembelajaran jarak jauh. International Journal of Progressive Mathematics Education, 1(2), 116–126. https://doi.org/10.22236/ijopme.v1i2.6568
Crossref
Maciejewski, W. (2015). Flipping the calculus classroom: An evaluative study. Teaching Mathematics and its Applications, 35(2), 95–108. https://doi.org/10.1093/teamat/hrv019
Crossref
Maesya Firdaus, D., Purwanto, S. E., & Nuriadin, I. (2021). Kontribusi self-efficacy dan mathematics anxiety terhadap kemampuan penalaran matematika siswa. International Journal of Progressive Mathematics Education, 1(2), 85–103. https://doi.org/10.22236/ijopme.v1i2.6488
Crossref
Martínez-Sierra, G., & García González, M. D. S. (2014). High school students’ emotional experiences in mathematics classes. Research in Mathematics Education, 16(3), 234–250. https://doi.org/10.1080/14794802.2014.895676
Crossref
McGuffey, W., Quea, R., Weber, K., Wasserman, N., Fukawa-Connelly, T., & Mejia Ramos, J. P. (2019). Pre- and in-service teachers’ perceived value of an experimental real analysis course for teachers. International Journal of Mathematical Education in Science and Technology, 50(8), 1166–1190. https://doi.org/10.1080/0020739X.2019.1587021
Crossref
Pampaka, M., Williams, J., & Hutcheson, G. (2012). Measuring students’ transition into university and its association with learning outcomes. British Educational Research Journal, 38(6), 1041–1071. https://doi.org/10.1080/01411926.2011.613453
Crossref
Rach, S., & Ufer, S. (2020). Which prior mathematical knowledge is necessary for study success in the university study entrance phase? International Journal of Research in Undergraduate Mathematics Education, 6(3), 375–403. https://doi.org/10.1007/s40753-020-00112-x
Crossref
Renkl, A., Atkinson, R. K., Maier, U. H., & Staley, R. (2002). From example study to problem solving: Smooth transitions help learning. The Journal of Experimental Education, 70(4), 293–315. https://doi.org/10.1080/00220970209599510
Crossref
Roslani, & Nuriadin, I. (2022). Analysis of obstacles to learning mathematics online in view of constructivism theory. International Journal of Progressive Mathematics Education, 2(1), 15–23. https://doi.org/10.22236/ijopme.v2i1.8812
Crossref
Saida, Ikram, M., & Salwah. (2021). Analysis of students’ creative thinking in solving cuboid problems. International Journal of Progressive Mathematics Education, 1(2), 104–116. https://doi.org/10.22236/ijopme.v1i2.7307
Crossref
Yanti, F., Bayu Nugroho, P., & Gunawan, W. (2022). Analysis of learning difficulties of class XI students at SMK Muhammadiyah Kotabumi. International Journal of Progressive Mathematics Education, 2(1), 24–34. https://doi.org/10.22236/ijopme.v2i1.8899
Crossref
Authors

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