Predictive reasoning of senior high school students in handling COVID-19 data

Lathifaturrahmah Lathifaturrahmah; Toto Nusantara; Subanji Subanji; Makbul Muksar

doi:10.29333/ejmste/13110

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Lathifaturrahmah Lathifaturrahmah ¹ ² , Toto Nusantara ¹ ^* , Subanji Subanji ¹ , Makbul Muksar ¹

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¹ Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, INDONESIA² Universitas Islam Negeri Antasari Banjarmasin, INDONESIA^* Corresponding Author

Abstract

The purpose of this study is to describe the characteristics of predictive reasoning made by students in solving graph-related problems, particularly related to COVID-19. This is a descriptive qualitative study with data collected from a sample size of 25 senior high school students and analyzed using the generalization-prediction task. The result revealed that there are three types of students’ predictive reasoning made based on (1) data observation, (2) data observation coupled with prior experience, and (3) data observation coupled with prior experience or knowledge. The experience used to make a prediction is obtained from personal life, classroom, and general knowledge about COVID-19. In conclusion, this study improves students’ understanding and ability to reason with graphs and future studies can be conducted with different prediction tasks.

Keywords

predictive reasoning
COVID-19
data observations
prior experiences
knowledge

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 19, Issue 4, April 2023, Article No: em2253

https://doi.org/10.29333/ejmste/13110

Publication date: 01 Apr 2023

Online publication date: 25 Mar 2023

Article Views: 1368

Article Downloads: 756

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How to cite this article

APA

Lathifaturrahmah, L., Nusantara, T., Subanji, S., & Muksar, M. (2023). Predictive reasoning of senior high school students in handling COVID-19 data. Eurasia Journal of Mathematics, Science and Technology Education, 19(4), em2253. https://doi.org/10.29333/ejmste/13110

Vancouver

Lathifaturrahmah L, Nusantara T, Subanji S, Muksar M. Predictive reasoning of senior high school students in handling COVID-19 data. EURASIA J Math Sci Tech Ed. 2023;19(4):em2253. https://doi.org/10.29333/ejmste/13110

AMA

Lathifaturrahmah L, Nusantara T, Subanji S, Muksar M. Predictive reasoning of senior high school students in handling COVID-19 data. EURASIA J Math Sci Tech Ed. 2023;19(4), em2253. https://doi.org/10.29333/ejmste/13110

Chicago

Lathifaturrahmah, Lathifaturrahmah, Toto Nusantara, Subanji Subanji, and Makbul Muksar. "Predictive reasoning of senior high school students in handling COVID-19 data". Eurasia Journal of Mathematics, Science and Technology Education 2023 19 no. 4 (2023): em2253. https://doi.org/10.29333/ejmste/13110

Harvard

Lathifaturrahmah, L., Nusantara, T., Subanji, S., and Muksar, M. (2023). Predictive reasoning of senior high school students in handling COVID-19 data. Eurasia Journal of Mathematics, Science and Technology Education, 19(4), em2253. https://doi.org/10.29333/ejmste/13110

MLA

Lathifaturrahmah, Lathifaturrahmah et al. "Predictive reasoning of senior high school students in handling COVID-19 data". Eurasia Journal of Mathematics, Science and Technology Education, vol. 19, no. 4, 2023, em2253. https://doi.org/10.29333/ejmste/13110