TY - JOUR
T1 - Python-based simulations of the probabilistic behavior of random events for secondary school students
AU - Seebut, Supot
AU - Wongsason, Patcharee
AU - Kim, Dojin
AU - Putjuso, Thanin
AU - Boonpok, Chawalit
N1 - Publisher Copyright:
© 2022. by the authors; licensee Modestum. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Mathematical modeling
KW - Simulating probabilistic behavior
KW - Simulation
KW - Simulation modeling
UR - http://www.scopus.com/inward/record.url?scp=85135836781&partnerID=8YFLogxK
U2 - 10.29333/ejmste/12309
DO - 10.29333/ejmste/12309
M3 - Article
AN - SCOPUS:85135836781
SN - 1305-8215
VL - 18
JO - Eurasia Journal of Mathematics, Science and Technology Education
JF - Eurasia Journal of Mathematics, Science and Technology Education
IS - 9
M1 - em2149
ER -