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Mathematical Modeling in Online Learning Environments: Student Challenges

Year 2024, Volume: 24 Issue: 2, 1049 - 1075, 24.06.2024
https://doi.org/10.17240/aibuefd.2024..-1407578

Abstract

This research aims to examine the difficulties encountered by secondary school students in the mathematical modeling process applied synchronous in online learning environments (OLEs). The research was conducted on 11 8th grade students (8 girls, 3 boys) studying in a public secondary school in Türkiye, using the case study method, by recording audio and videos for 6 weeks. Participants worked collaboratively within a group to complete various problems using the Dynamic Mathematics Software (DMS) GeoGebra. The themes that students had difficulty with in the Online Mathematical Modeling (OMM) process were determined as technical difficulties, access to information and reliability, limited view, shared tasks, limited interaction, time management and time constraints. Using digital tools and instruments in the modeling process offers many advantages to students, however it can also create technical problems. Conspicuous difficulties encountered in the Mathematization and Working Mathematically process is noted, particularly in relation to the DMS. In addition, it was found that the difficulties encountered by students while obtaining information from different sources sometimes negatively affected their solution suggestions. Limitations about the students' interactions with their peers, teachers, and technology during the OMM process caused various difficulties in the stages of the modeling cycle. Future research should focus on developing methods to increase students' interaction and collaboration in OMM processes by overcoming technical difficulties.

References

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  • Erbas, A., Kertil, M., Çetinkaya, B., Cakiroglu, E., Alacaci, C., & Bas, S. (2014). Mathematical modeling in mathematics education: Basic concepts and approaches. Educational Sciences: Theory and Practice, 14(4), 1621-1627. https://doi.org/10.12738/estp.2014.4.2039
  • Etemad-Sajadi, R. (2016). The impact of online real-time interactivity on patronage intention: the use of avatars. Computers in Human Behavior, 61, 227-232. https://doi.org/10.1016/j.chb.2016.03.045
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Çevrimiçi Öğrenme Ortamlarında Matematiksel Modelleme: Öğrenci Zorlukları

Year 2024, Volume: 24 Issue: 2, 1049 - 1075, 24.06.2024
https://doi.org/10.17240/aibuefd.2024..-1407578

Abstract

Bu araştırmanın amacı, çevrim içi öğrenme ortamlarında (ÇÖO) eş zamanlı olarak gerçekleştirilen matematiksel modelleme sürecinde ortaokul öğrencilerinin karşılaştığı zorlukları incelemektir. Türkiye’de bir devlet ortaokulunun 8. sınıfında öğrenim gören 11 öğrenci (8 kız, 3 erkek) üzerinde durum çalışması yöntemiyle gerçekleştirilen bu araştırma, 6 hafta süresince ses ve görüntü kaydı alınarak yürütülmüştür. Katılımcılar, çeşitli matematiksel modelleme problemlerini grup iş birliği ile dinamik matematik yazılımı (DMY) GeoGebra kullanarak tamamlamışlardır. Bu bağlamda, öğrencilerin modelleme sürecinin hangi aşamasında ne tür zorluklarla karşılaştıkları detaylı bir şekilde ele alınılarak incelenmiştir. Çevrim içi matematiksel modelleme (ÇMM) sürecinde öğrencilerin zorlandıkları temalar; teknik zorluklar, bilgi erişimi ve güvenilirlik, sınırlı görünüm, görev paylaşımı, sınırlı etkileşim, zamanlama ve süre kısıtlamaları olarak belirlenmiştir. Modelleme sürecinde dijital araçların kullanımı, öğrencilere birçok avantaj sunarken, aynı zamanda teknik sorunlara da yol açabilmektedir. Matematikselleştirme ve matematiksel çalışma aşamalarında, özellikle dinamik matematik yazılımından kaynaklanan zorluklar dikkat çekici bir şekilde ortaya çıkmıştır. Ayrıca öğrencilerin farklı kaynaklardan bilgi edinirken karşılaştıkları zorlukların çözüm önerilerini zaman zaman olumsuz etkilediği tespit edilmiştir. ÇMM sürecinde öğrenciler akranları, öğretmenleri ve teknoloji ile sınırlı etkileşimleri modelleme döngüsünün farklı aşamalarında çeşitli zorluklara neden olmuştur. Gelecekteki araştırmalar, OMM süreçlerinde öğrencilerin teknik zorlukları aşarak etkileşim ve iş birliğini artıracak yöntemler geliştirmeye odaklanmalıdır.

References

  • Adedoyin, O. & Soykan, E. (2020). COVID-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863-875. https://doi.org/10.1080/10494820.2020.1813180
  • Adnan, M., & Boz, B. (2015). Faculty members’ perspectives on teaching mathematics online: does prior online learning experience count?. Turkish Online Journal of Qualitative Inquiry, 6(1), 21-38. https://doi.org/10.17569/tojqi.60223
  • Alabdulaziz, M. S. (2021). COVID-19 and the use of digital technology in mathematics education. Education and Information Technologies, 26, 7609-7633. https://doi.org/10.1007/s10639-021-10602-3
  • Apuke, O. and Iyendo, T. (2018). University students' usage of the internet resources for research and learning: forms of access and perceptions of utility. Heliyon, 4(12), e01052. https://doi.org/10.1016/j.heliyon.2018.e01052
  • Arefaine, N., Michael, K., & Assefa, S. (2022). GeoGebra Assisted Multiple Representations for Enhancing Students’ Representation Translation Abilities in Calculus. Asian Journal of Education and Training, 8(4), 121–130. https://doi.org/10.20448/edu.v8i4.4309
  • Aversi-Ferreira, T. A., Cordeiro-de-Oliveira, K., Lima, S. V. A. M. de, Santos, W. F. dos, Costa, C. A., Resende, E. B., Moraes-Siqueira, J. S. de, Ferreira, J. P., & Andrade, J. M. S. (2021). The perceptions of students and instructor in a graduate mathematical modeling class: An experience with remote education. Research, Society and Development, 10(6), e2310615223. https://doi.org/10.33448/rsd-v10i6.15223
  • Basilaia, G. and Kvavadze, D. (2020). Transition to online education in schools during a sars-cov-2 coronavirus (COVID-19) pandemic in georgia. Pedagogical Research, 5(4). https://doi.org/10.29333/pr/7937
  • Blum, W., & Leiß, D. (2007). How do students and teachers deal with modelling problems? In C. R. Haines, P. L. Galbraith, W. Blum, & S. Khan (Eds.), Mathematical modelling (ICTMA 12): Education, engineering and economics (pp. 222-231). Horwood. https://doi.org/10.1533/9780857099419.5.221.
  • Bringula, R., Reguyal, J. J., Tan, D. D., & Ulfa, S. (2021). Mathematics self-concept and challenges of learners in an online learning environment during COVID-19 pandemic. Smart Learning Environments, 8(1), 1-23. https://doi.org/10.1186/s40561-021-00168-5
  • Çevik, Y., & Cihangir, A. (2020). Tam sayıların modellenmesine ilişkin durum çalışması. Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi, 2(2), 136-151. https://doi.org/10.51119/ereegf.2020.2
  • Çevikbaş, M., Greefrath, G., & Siller, H. S. (2023, April). Advantages and challenges of using digital technologies in mathematical modelling education–a descriptive systematic literature review. Frontiers in Education, 8, 1142556. https://doi.org/10.3389/feduc.2023.1142556
  • Chang, Y. and Lee, E. (2022). Addressing the challenges of online and blended stem learning with grounded design. Australasian Journal of Educational Technology, 163-179. https://doi.org/10.14742/ajet.7620
  • Coşkun Şimşek, M., İnam, B., Yebrem Özdamar, S., & Turanlı, N. (2022). Matematik öğretmenlerinin gözünden uzaktan eğitim. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 37(2), 629-653. https://doi.org/10.16986/huje.2021073768
  • Coksoyler, A., & Bozkurt, G. (2021). Bilişsel perspektif bağlamında matematiksel modelleme süreci: Altıncı sınıf öğrencilerinin deneyimleri. Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi, (52), 480-502. https://doi.org/10.53444/deubefd.930216
  • Daher, W. M., & Shahbari, J. A. (2015). Pre-service teachers’ modelling processes through engagement with model eliciting activities with a technological tool. International Journal of Science and Mathematics Education, 13, 25-46. https://doi.org/10.1007/s10763-013-9464-2
  • Deniz, S., & Kurt, G. (2022). Investigation of mathematical modeling processes of middle school students in Modeling activities (MEAs): A STEM approach. Participatory Educational Research, 9(2), 150-177. https://doi.org/10.17275/per.22.34.9.2
  • El-Sabagh, H. A. (2021). Adaptive e-learning environment based on learning styles and its impact on development students’ engagement. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239-021-00289-4
  • Erbas, A., Kertil, M., Çetinkaya, B., Cakiroglu, E., Alacaci, C., & Bas, S. (2014). Mathematical modeling in mathematics education: Basic concepts and approaches. Educational Sciences: Theory and Practice, 14(4), 1621-1627. https://doi.org/10.12738/estp.2014.4.2039
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There are 61 citations in total.

Details

Primary Language English
Subjects Mathematics Education
Journal Section Articles
Authors

Mustafa Altuntaş 0000-0002-5352-4233

Zeynep Ay 0000-0002-1037-7106

İbrahim Çetin 0000-0003-4807-3295

Early Pub Date June 12, 2024
Publication Date June 24, 2024
Submission Date December 26, 2023
Acceptance Date May 15, 2024
Published in Issue Year 2024 Volume: 24 Issue: 2

Cite

APA Altuntaş, M., Ay, Z., & Çetin, İ. (2024). Mathematical Modeling in Online Learning Environments: Student Challenges. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, 24(2), 1049-1075. https://doi.org/10.17240/aibuefd.2024..-1407578