Fostering Statistical Literacy through Digital Technology

Main Article Content

Mathasit Tanyarattanasrisakul
Chanisvara Lertamornpong
Tongta Somchaipeng

Abstract

Statistical literacy is an important learning topic in the era of data-driven society and can be enhanced by using digital technology. This article aims to introduce the concept of improving statistical literacy by using digital technology. The key points include: 1) statistical literacy refers to the ability to interpret and critically evaluate statistical information, arguments, or phenomena in a variety of contexts, and the ability to discuss and communicate an understanding of statistical information, opinions on the use of information, concern, and acceptance of the statistical information found, 2) statistical literacy has been promoted through the statistical problem-solving process, which consists of four steps: Formulating statistical questions, collecting data, analyzing data, and interpreting data, and using lessons focused on reading digital statistical reports through the application of worry questions, and 3) digital technology allows the statistical problem-solving process to be smooth, convenient, and fast, serving as a source of information for statistical reports, which promotes statistical literacy very effectively. The use of digital technology facilitates the preparation and analysis of statistical data, and reduces the time spent on statistical problem-solving processes. This allows a transition to a phase of discussion and communication of statistical conclusions derived from interpretation, argumentation, and critical evaluation.

Article Details

How to Cite
Tanyarattanasrisakul, M., Lertamornpong, C., & Somchaipeng, T. (2025). Fostering Statistical Literacy through Digital Technology. Journal of Education and Innovative Learning, 5(2), 451–465. retrieved from https://so06.tci-thaijo.org/index.php/jeil/article/view/275787
Section
Academic Articles

References

Arnold, P., & Franklin, C. (2021). What makes a good statistical question?. Journal of Statistics and Data Science Education, 29(1), 122-130. https://doi.org/10.1080/26939169.2021.1877582

Aziz, A. M., & Rosli, R. (2021). A systematic literature review on developing students' statistical literacy skills. Journal of Physics: Conference Series, 1806, 012102. https://doi.org/10.1088/1742-6596/1806/1/012102

Bakker, A., Cai, J., & Zenger, L. (2021). Future themes of mathematics education research: An international survey before and during the pandemic. Educational Studies in Mathematics, 107, 1-24. https://doi.org/10.1007/s10649-021-10049-w

Bargagliotti, A., Franklin, C., Arnold, P., Gould, R., Johnson, S., Perez, L., & Spangler, D. A. (2020). Pre-K–12 guidelines for assessment and instruction in statistics education II (GAISE II). American Statistical Association. https://www.amstat.org/asa/files/pdfs/GAISE/GAISEIIPreK-12_Full.pdf

Ben-Zvi, D., & Garfield, J. (Eds.). (2004). The challenge of developing statistical literacy, reasoning and thinking. Kluwer Academic. https://doi.org/10.1007/1-4020-2278-6

Budgett, S., & Ross, D. (2017). Developing statistical literacy in the final school year. Statistics Education Research Journal, 16(1), 139-162. https://doi.org/10.52041/serj.v16i1.221

Büscher, C. (2022). Design principle for developing statistical literacy in middle schools. Statistics Education Research Journal, 21(1), 1-16. https://doi.org/10.52041/serj.v21i1.80

Callingham, R., & Watson, J. (2017). The development of statistical literacy at school. Statistics Education Research Journal, 16(1), 181-201. https://doi.org/10.52041/serj.v16i1.223

Delport, D. H. (2023). The development of statistical literacy among students: Analyzing messages in media articles with gal's worry questions. Teaching Statistics, 45(2), 61-68. https://doi.org/10.1111/test.12308

Gal, I. (2002). Adults' statistical literacy: Meanings, components, responsibilities. International Statistical Review, 70(1), 1-25. https://doi.org/10.1111/j.1751-5823.2002.tb00336.x

Institute for the Promotion of Teaching Science and Technology. (2017). Manual for using the mathematics subject group curriculum (Revised Edition 2017) according to the basic education core curriculum 2008. https://www.scimath.org/e-books/8380/8380.pdf [in Thai]

Koga, S. (2022). Lessons aimed at demonstrating statistical literacy skills: a case study of japanese high school lessons on reading statistical Report. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering & Educating Today’s Learners in Statistics. Proceedings of the 11th International Conference on Teaching Statistics (ICOTS11, 1-6). International Association for Statistical Education. http://doi.org/10.52041/iase.icots11.T7B1

Marchy, F., & Juandi, D. (2023). Student’s statistical literacy skills (1980-2023), a systematic literature review with bibliometric analysis. Journal of Education and Learning Mathematics Research, 4(1), 31-45. https://doi.org/10.37303/jelmar.v4i1.105

Marshall, L., & Swan, P. (2006). Using M&Ms to develop statistical literacy. APMC, 11(1), 15-24. https://eric.ed.gov/?id=EJ793916

Oliveira, H., Henriques, A., & Ponte, J. P. (2016). Developing statistical literacy (DSL), student learning and teacher education. In D. Ben-Zvi & K. Makar (Eds.), The Teaching and Learning of Statistics: International Perspectives (299–300). Springer International.

Rizou, O., Klonari, A., & Kavroudakis, D. (2021). Supporting statistical literacy with ICT-based teaching scenario. International Journal of Education, 9(4), 59-78. http://doi.org/10.5121/ije.2021.9405

Schield, M. (2004). Information literacy, statistical literacy and data literacy. IASSIST Quarterly, 28(2-3), 6. https://doi.org/10.29173/iq790

Sharma, S. (2017). Definitions and models of statistical literacy: a literature review. Open Review of Educational Research, 4(1), 118-133. http://doi.org/10.1080/23265507.2017.1354313

Shaughnessy, J. M. (2010, August). Statistics for all—the flip side of quantitative reasoning. https://www.nctm.org/News-and-Calendar/Messages-from-the-President/Archive/J_-Michael-Shaughnessy/Statistics-for-All—the-Flip-Side-of-Quantitative-Reasoning

Suhermi, & Widjajanti, D. B. (2020). What are the roles of technology in improving student statistical literacy?. Journal of Physics: Conference Series, 1581, Article 012067. http://doi.org/10.1088/1742-6596/1581/1/012067

Tanyarattanasrisakul, M., Ugsonkid, S., & Chuntra, S. (2024). Guidelines for assessing statistical literacy at the secondary school level. Journal of National Educational Testing and Assessment, 5(1), 17-33. https://so02.tci-thaijo.org/index.php/JOURNALNIETS/article/view/269759 [in Thai]

Wallman, K. K. (1993). Enhancing statistical literacy: enriching society. Journal of the American Statistical Association, 88(421), 1-8. https://doi.org/10.1080/01621459.1993.10594283

Watson, J., & Callingham, R. (2003). Statistical literacy: A complex hierarchical construct. Statistics Education Research Journal, 2(2), 3-46. https://doi.org/10.52041/serj.v2i2.553

Weiland, T. (2016). Towards a framework for critical statistical literacy in high school mathematics. In M. B. Wood, E. E. Turner, M. Civil, & J. A. Eli (Eds.), Proceedings of the 38th Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (984-991). The University of Arizona. https://files.eric.ed.gov/fulltext/ED583713.pdf