Python-based simulations of the probabilistic behavior of random events for secondary school students
Supot Seebut 1 * , Patcharee Wongsason 1, Dojin Kim 2, Thanin Putjuso 3, Chawalit Boonpok 4
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1 Department of Mathematics Statistics and Computers, Ubon Ratchathani University, Ubon Ratchathani, THAILAND2 Department of Mathematics, Dongguk University, Seoul, SOUTH KOREA3 School of General Science, Rajamangala University of Technology Rattanakosin, Prachaub Khiri Khan, THAILAND4 Department of Mathematics, Mahasarakham University, Mahasarakham, THAILAND* Corresponding Author

Abstract

Simulation modeling is an effective tool for solving problems that cannot be explained analytically or when data cannot be collected. This is done by simulating the observed behavior of a problem under study using a computer program. In math education, this can develop knowledge and fundamental competencies of simulation modeling at a higher level and foster its applications in everyday life. This study created learning activities for secondary school students to simulate the probabilistic behavior of random events using Python. 28 grade 12 students took part in these activities using appropriate scaffolding strategies and a powerful mathematical tool, Python. After completing the activities, student competency in simulating the probabilistic behavior of random events with Python was evaluated using rubrics and the factors of student enjoyment, perceived value, interest, and self-efficacy were determined through a Likert-scale questionnaire. The assessment results showed that the activities had a positive effect on student competencies and emotions. The outcomes of the study can serve guidelines for teachers who are interested in expanding the results for further student development.

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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, 2022, Volume 18, Issue 9, Article No: em2149

https://doi.org/10.29333/ejmste/12309

Publication date: 06 Aug 2022

Article Views: 391

Article Downloads: 273

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