Keywords
formation of modeling skills
teachers
STEM
STEM project
GeoGebra
curve
How to Cite
Abstract
Modern science operates with various methods, among which modeling is one of the most popular. The development of information technology allows the study of analogues (models) with the most significant characteristics of the real object. Modeling activities have been considered as useful teaching method in STEM education. Cloud services (like GeoGebra) are effective means for STEM education. The paper features a methodology of forming modeling skills based on STEM projects, which is grounded on modeling interesting curves of Analytic Geometry course. The content of the methodology is a course in Computer Modeling, which includes a module "STEM education and modeling". The module idea is based on the formation of skills required to model interesting curves (ellipse, hyperbola, parabola, conchoid of Nicomedes, limaçon of Pascal, strophoid, cissoid of Diocles, lemniscate of Bernoulli, Cassini oval, cycloidal curves, folium of Descartes, witch of Agnesi, logarithmic spiral). The methodology provides 4 steps (Step 1 – the teacher offers an example of a STEM project, which is discussed in class and solved by the teacher using GeoGebra; Step 2 – students are divided into groups of 3-4 people; Step 3 – the teacher offers a short STEM project (7-10 days), in which students model the curve; Step 4 – students offer their own STEM project (15-20 days), the solution of which is based on the modeling of an interesting curve). To test the effectiveness of the developed methodology, a pedagogical experiment was organized (2019-2021), which was joined by Master's students majoring in "Secondary Education (Mathematics)" and "Secondary Education (Computer Science)". Makarenko Sumy State Pedagogical University (Ukraine) was the experimental base. The effectiveness of the proposed methodology is proved by the sign test at the significant level of 0.05.
References
Y. Kim, and M. Park, “Pre-service teachers' perspectives on modeling activities”, presented at the 9th International Conference on Education and New Learning Technologies (EDULEARN). Barcelona, SPAIN. pp. 9738-9743. (in English)
J. Hallstrom, and R. Schonborn, “Models and modelling for authentic STEM education: reinforcing the argument”. International Journal of STEM Education. no. 6 (22), 2019. doi: 10.1186/s40594-019-0178-z. (in English)
M. Kertil, and C. Gurel, “Mathematical Modeling: A Bridge to STEM Education”. International Journal of Education in Mathematics Science and Technology. No 4 (1), pp. 44-55, 2019. doi: 10.18404/ijemst.95761. (in English)
Concept of Nature and Mathematics Education Development (STEM education), 2020. [Online]. Available: https://zakon.rada.gov.ua/laws/show/960-2020-%D1%80#Text. (in Ukrainian)
E. Laksha, “The role of students’ constructive skills in preparation for professional activity”, presented at the Conference Creativity and research in mathematics education, pp. 41-43, 2008. (in Russian)
N. Kononenko, “Features of the development of the constructive component of mental activity in the fild of geometry in schoolchildren”. Scientific notes of the Trans-Baikal State University. Series: Physics, mathematics, engineering, technology, pp. 128-131, 2010. (in Russian)
N. Ivanina,“The role of constructive activity in the development of the child”. Bulletin of the Krasnoyarsk State Pedagogical University, 19-23, 2010. (in Russian)
V. Pikalova, and L. Novakovska, “Formation of research skills of students in studying the topic second level curves”, presented at the All-Ukrainian Conference Designing a learning environment as a methodological problem, pp. 107-109. (in Ukrainian)
O. Markova, S. Semerikov, and M. Popel, “CoCalc as a learning tool for neural network simulation in the special course "Foundations of mathematic informatics". CEUR Workshop Proceedings, 2104, pp. 388-403, 2018. (in English)
S. Semerikov, I. Teplytskyi, Y. Yechkalo, O. Markova, V. Soloviev, and A. Kiv,“Computer simulation of neural networks using spreadsheets: Dr. Anderson, welcome bac”. CEUR Workshop Proceedings, 2393, pp. 833-848, 2019. (in English)
N. Budinski, “An Example how Geogebra can be Used as a Tool for STEM”. International Journal for Technology in Mathematics Education. no. 4 (3), pp. 149-153, 2018. doi: 10.1564/tme_v24.3.07. (in English)
T. Kramarenko, O. Pylypenko, and V. Zaselskiy, “Prospects of using the augmented reality application in STEM-based Mathematics teaching”, presented at the 2nd International Workshop on Augmented Reality in Education (AREDU 2019), pp. 130-144, 2019. (in English)
J. Hrebicek, and M. Rezac,“Modelling with Maple and Maplesim”, presented at the 22nd European Conference on Modelling and Simulation, Proceedings,pp.60, 2008. (in English)
K. Vlasenko, O. Chumak, D. Bobyliev, I. Lovianova, and I. Sitak, “Development of an onlinecourse syllabus “Operations research oriented to cloud computing in the CoCalc system”. CEUR Workshop Proceedings, 2740, pp. 278-291, 2020. (in English)
E. Semenikhina, M. Drushlyak, Yu. Bondarenko, S. Kondratiuk, and N. Dehtiarova,“Cloud-based service GeoGebra and its use in the educational process: the BYOD-approach”. TEM Journal. no. 8, pp. 65-72, 2019. doi:10.18421/TEM81-08. (in English)
O. Hrybiuk,“System of dynamic mathematics of GeoGebra as a means of supporting general and special abilities of students in the process of research learning: practical work experience”. Physical and Mathematical Education, no. 2(24), pp. 37-51, 2020. (in Ukrainian)
M. Drushlyak, O. Semenikhina, V. Proshkin, S. Kharchenko, andT. Lukashova,“Methodology of formation of modeling skills based on a constructive approach (on the example of GeoGebra)”,presented at 8th Workshop on Cloud Technologies in Education (CTE 2020), pp.458-472, 2020. (in English)
M. Grabar, and K. Krasnjanskaja,“Application of mathematical statistics in pedagogical researches. Nonparametric methods”. Moscow: Pedagogika, 1977. (in Russian)
C. Yata, T. Ohtani, and M. Isobe, “Conceptual framework of STEM based on Japanese subject principles”. International Journal of STEM Education. no. 7 (12), 2020. doi: https://doi.org/10.1186/s40594-020-00205-8. (in English)
O. Martyniuk, “ STEM technologies as a means of teachers’ and students’ information and digital competence formation”. Collection of scientific works of Ivan Ogienko Kamyanets-Podilsky National.no. 24, pp. 18-22, 2018. (in English)
N. Balyk, and G. Shmyger, “Approaches and Peculiarities of Modern STEM Education”. Physical and Mathematical Education. no. 2 (12), pp. 26-33, 2017. (in Ukrainian)
Yu. Botuzova, “Geogebra Dynamic Models At The Mathematics Lessons As A Stem-Approach”. Physical and Mathematical Education. No 3 (17), pp.31-35, 2018. (in Ukrainian)
E. Hom, “What is STEM Education? Live Science Contributor”, 2022. Available: http://www.livescience.com/43296-what-is-stem-education.html. (in English)
O. Stryzhak, I. Slipukhina, N. Polikhun, and I. Chernetckiy, “STEM Education: Main Definitions”. Information Technologies and Learning Tools. no. 6(62), pp. 16-33, 2017. doi: https://doi.org/10.33407/itlt.v62i6.1753. (in Ukrainian)
B. Oliynyk, O. Samoylenko, I. Batsurovska, and H. Dotsenko, “STEM education in the system of training of future engineers”. Information Technologies and Learning Tools. no. 6 (80), pp. 127-139, 2020. doi: https://doi.org/10.33407/itlt.v80i6.3635. (in Ukrainian)
Z. Zhao, “Progress of STEM Education Policy in the United States”. Shanghai: Shanghai Science and Technology Education Press, 2015. (in English)
J. Qin, and G. Fu, “STEM Education: Interdisciplinary Education Based on Real Problem Scenarios”. China Educational Technology. No 4, pp. 67-74, 2017. (in English)
M. Romero-Ariza, A. Quesada, and A. Abril, “Realistic contexts and inquiry to enhace stem education: in-depht views in case studies”, presented at the 13th International Technology, Education and Development Conference (INTED2019). Pp. 9954-9959, 2019. doi: 10.21125/inted.2019.2496. (in English)
Meaningful Math. [Online]. Available: https://activatelearning.com/meaningful-math/. (in English)
M. Yan,“Case study of STEM education in the family”, presented at the 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017), 2017. https://doi.org/10.2991/essaeme-17.2017.463. (in English)
J. Hsiao, S. Chen, W. Chen, and S. Lin,“Developing a plugged-in class observation protocol in high-school blended STEM classes: Student engagement, teacher behaviors and student-teacher interaction patterns”. Computers and Education, 178, 2022. doi:10.1016/j.compedu.2021.104403. (in English)
T. Wang, L. Wang, L. Fu, and L. He, “The novel STEM practice course and industrial robot educational platform via university-middle school collaboration”. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control. Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore, 2022. doi: https://doi.org/10.1007/978-981-15-8155-7_316. (in English)
M. Skowronek, R. Gilberti, M. Petro, C. Sancomb, S. Maddern, and J. Jankovic, “Inclusive STEAM education in diverse disciplines of sustainable energy and AI”. Energy and AI. no. 7, 2022. doi:10.1016/j.egyai.2021.100124. (in English)
A. Dashkevich, “Geometric modeling of schemes of action of planetary kneading machines”. Ph.D. dissertation, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, 2008. (in Ukrainian)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2022 Олена Володимирівна Семеніхіна, Марина Григорівна Друшляк, Інна Володимирівна Шишенко