The Integration of Technology in Mathematics Learning to Enhance Computational Thinking Skills Among Upper Primary School Students: A Case Study of Financial Literacy in Daily Life
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Abstract
This study aimed to: (1) compare the computational thinking skills of upper elementary school students before and after learning through the integration of technology into mathematics instruction, (2) examine the effects of technology integration on the development of computational thinking skills, and (3) promote positive attitudes toward using mathematical skills for making smart purchasing decisions. The research employed a one-group pretest-posttest experimental design. The sample consisted of 30 upper elementary students from Samakkheemeechai Witthaya School, Buriram Province, selected using stratified random sampling. Research instruments included five instructional activity plans, a computational thinking skills test, a behavioral observation form on the use of technology in mathematics learning, and a questionnaire on attitudes toward using mathematical skills in purchasing decisions. Data were analyzed using descriptive statistics and paired sample t-tests. The results showed that after integrating technology into mathematics learning, students' computational thinking skills significantly improved at the .05 level. Additionally, students developed positive attitudes toward using technology and mathematics in everyday life. They demonstrated good collaboration, confidence in financial planning and calculation, and improved computational thinking and sustainable financial management skills. The findings indicate that integrating technology in mathematics instruction effectively enhances computational thinking skills and encourages the application of knowledge to real-life situations among upper elementary students.
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References
Anderson, L. W., & Boudah, D. J. (2012). Classroom assessment and educational measurement (2nd ed.). Pearson.
Angeli, C., & Valanides, N. (2019). Epistemological and methodological issues for the conceptualization, development, and assessment of computational thinking. Educational Technology Research and Development, 67(5), 1105–1124. https://doi.org/10.1007/s11423-019-09709-3
Blum, W., & Borromeo Ferri, R. (2009). Mathematical modelling: Can it be taught and learnt? Journal of Mathematical Modelling and Application, 1(1), 45–58.
Bruner, J. S. (1996). The culture of education. Harvard University Press.
Brusilovsky, P., & Millán, E. (2007). User models for adaptive hypermedia and adaptive educational systems. In P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web: Methods and strategies of web personalization (pp. 3–53). Springer.
Brennan, K., & Resnick, M. (2022). Learning activities using technology for mathematics and financial literacy development. Journal of Educational Technology, 38(4), 320–336.
Chien, Y.-T., & Hsu, C.-Y. (2016). Financial decision-making and basic financial skills in elementary students. Journal of Financial Education, 42(2), 105–123.
Fosnot, C. T. (2005). Constructivism: Theory, perspectives, and practice (2nd ed.). Teachers College Press.
Grover, S., Cooper, S., & Pea, R. (2014). Computational thinking in K–12: Experiences, research, and practice. Synthesis Lectures on Computer Science, 1(1), 1–133. https://doi.org/10.2200/S00516ED1V01Y201402CSL007
Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38–43. https://doi.org/10.3102/0013189X12463051
Hwang, G.-J., Wu, P.-H., & Chen, C.-C. (2015). An interactive concept map approach to supporting collaborative problem solving and learning performance. Interactive Learning Environments, 23(4), 450–462. https://doi.org/10.1080/10494820.2013.839073
Karsenti, T., & Collin, S. (2013). The impact of mobile devices on student learning: A research synthesis. Educational Technology & Society, 16(3), 95–105.
Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5
OECD. (2014). PISA 2012 results: Students and money—Financial literacy skills for the 21st century (Vol. VI). OECD Publishing. https://doi.org/10.1787/9789264208094-en
OECD. (2017). PISA 2015 assessment and analytical framework: Science, reading, mathematics and financial literacy. OECD Publishing. https://doi.org/10.1787/9789264281820-en
Piaget, J. (1973). To understand is to invent: The future of education. Grossman.
Sherraden, M., Johnson, L., Elliott, W., & Rainford, W. (2011). Financial capability in children: Effects of participation in a school-based program. Journal of Consumer Affairs, 45(2), 380–403. https://doi.org/10.1111/j.1745-6606.2011.01214.x
Shu, S. B., & Kauffman, R. J. (2012). Digital price comparison tools and consumer decision-making: An experimental study. Journal of Consumer Behaviour, 11(6), 511–522. https://doi.org/10.1002/cb.1397
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215