A deep dive into statistical, data, and digital literacies: A bibliometric analysis (2000–2024)

Authors

DOI:

https://doi.org/10.52041/iase25.112

Abstract

This study aims to explore the field of statistical literacy in relation to quantitative, data, and digital literacy, highlighting their interconnected development and significance, to better understand how STEAM educators and researchers contribute to advancing these essential skills. Scientific literature indexed in Web of Science from 2000 to 2024 (n = 674 articles and books) is analyzed using co- occurrence analysis in VOSviewer. Five interrelated key trends are discovered: Data Literacy, Statistical Applications for Modeling and Prediction, Statistics Education, Mathematics, and Quantitative skills, Statistical and Quantitative Literacies and Digital Literacy. The findings highlight the growing relevance of statistical, data, and digital literacy, as well as the need of an effective integration of these literacies for education, research, and professional practice in STEAM disciplines.

References

Adeoye, M. A. (2023). Gender differences in teachers' digital literacy skills in teaching STEAM. Journal of Education Technology, 7(3), 462–469.

Association of College and Research Libraries (2015). Framework for Information Literacy for Higher Education. Association of College and Research Libraries, Chicago, IL. http://www.ala.org/acrl/standards/ilframework

Biezā, K. E. (2020). Digital literacy: Concept and definition. International Journal of Smart Education and Urban Society (IJSEUS), 11(2), 1–15.

Brock, C.H, Wiest, L.R. & Thrailkill, L. (2021). Learning quantitative literacy: A sixth‐grade disciplinary literacy unit. The Reading Teacher, 74(6), 733–746. https://doi.org/10.1002/trtr.2008

Caratozzolo, P., Alvarez-Delgado, A., & Sirkis, G. (2021). Fostering digital literacy through active learning in engineering education. In 2021 IEEE Frontiers in Education Conference (FIE) (pp. 1- 6). IEEE. https://doi.org/10.1109/fie49875.2021.9637304

Dimitrakopoulou, D. (2022). Digital literacy. In L. A. Schintler & C. L. McNeely (Eds.), Encyclopedia of Big Data (pp. 393–395). Cham: Springer International Publishing. https://doi.org/10.1007/978- 3-319-32010-6_72

Encheva, M., Tammaro, A. M., Yancheva, G., Zlatkova, P., Conti, G., & Maasilta, M. (2024). Towards a STEAM model for digital fluency skills: Perceptions of students and teachers. IFLA Journal, 50(1), 75–92. https://doi.org/10.1177/03400352231209491

Feerrar, J. (2019). Development of a framework for digital literacy. Reference Services Review, 47(2), 91–105.

Fernández-Pascual, R., Pinto, M., & García Marco, F. J. (2024). Emergence and evolution of data literacy: Insights from a bibliometric study. Journal of Librarianship and Information Science, 57(4), 1079–1097. https://doi.org/10.1177/09610006241265102

Garfield, J., & Ben-Zvi, D. (2004). Research on statistical literacy, reasoning, and thinking: Issues, challenges, and implications. In D. Ben-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning and thinking (pp. 397–409). Dordrecht: Springer Netherlands.

Ghodoosi, B., West, T., Li, Q., Torrisi-Steele, G. & Dey, S. (2023). A systematic literature review of data literacy education. Journal of Business & Finance Librarianship, 28(2), 112–127. https://doi.org/10.1080/08963568.2023.2171552

Gould, R. (2017). Data literacy is statistical literacy. Statistics Education Research Journal, 16(1), 22– 25.

Hafizzaturroyani, H., Habibi, M., Fahruddin, F., Darmiany, D., & Subarinah, S. (2024). Development of digital literacy tools in the implementation of Science, Technology, Engineering, Art, and Mathematics (STEAM) Learning for the Implementation of the Independent Curriculum for Children Aged 5-6 Years. International Journal of Education and Digital Learning (IJEDL), 2(5), 63–72.

Heitin, L. (2016). What is Digital Literacy? Digital Literacy: an evolving definition. Education Week, 36(12).

Jesionkowska, J., Wild, F., & Deval, Y. (2020). Active learning augmented reality for STEAM education-A case study. Education Sciences, 10(8), 198. https://doi.org/10.3390/educsci10080198

Karaali, G., Villafane Hernandez, E. H., & Taylor, J. A. (2016). What’s in a Name? A critical review of quantitative literacy, numeracy, and quantitative reasoning. Numeracy, Journal of the National Numeracy Network, 9(1), Article 6. http://dx.doi.org/10.5038/1936-4660.9.1.2

Koltay, T. (2015). Data literacy: in search of a name and identity. Journal of Documentation, 71(2), 401–415. https://doi.org/10.1108/JD-02-2014-0026

Koparan, T., & Güven, B. (2015). The effect of project-based learning on students’ statistical literacy levels for data representation. International Journal of Mathematical Education in Science and Technology, 46(5), 658–686.

Lackie, P. (2004). Helping Students Understand & Use Data: A discussion of the jargon and trends in “Quantitative Literacy”. Presented at IASSIST 2004 Conference, Madison.

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

Meridha, J. M. (2024). The causes of poor digital literacy in educational practice, and possible solutions among the stakeholders: a systematic literature review. SN Soc Sci, 4, 210. https://doi.org/10.1007/s43545-024-01010-8

Naseema, S. & Sevukan, R. (2022). Global research trends in research data management (RDM) – a scientometric view. International Journal of Information Science and Management, 20(4), 117– 135.

Osterman, M. D. (2013). Digital literacy: Definition, theoretical framework, and competencies. In M. S. Plakhotnik, S. M. Nielsen, & D. M. Pane (Eds.), Proceedings of the 11th Annual College of Education & GSN Research Conference (pp. 135–141). Florida International University.

Schield, M. (2004). Statistical literacy curriculum design. Curriculum Design Roundtable sponsored by the International Association of Statistical Educators (IASE) in Lund, Sweden. https://www.statlit.org/pdf/2004SchieldIASE.pdf

Schield, M. (2005). Information Literacy, Statistical Literacy and Data Literacy. IASSIST Quarterly, 28(2–3), 6. https://doi.org/10.29173/iq790

Šorgo, A. (2018). Information, data and statistical literacy as foundation stones of project-based education. In M. Rusek & K. Vojíř (Eds.), Project-based education in science education empirical texts XV (pp.12–20). Univerzita Karlova.

Steen, L. (Ed.). (2001). Mathematics and democracy: The case for quantitative literacy. United States: The National Council on Education and the Disciplines.

Supianti, I. I., Yaniawati, P., Bonyah, E., Hasbiah, A. W., & Rozalini, N. (2025). STEAM approach in project-based learning to develop mathematical literacy and students' character. Infinity Journal, 14(2), 283–302.

Van Eck, N. J. & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111, 1053–1070. https://doi.org/10.1007/s11192-017-2300-7

Van Eck, N. J., & Waltman, L. (2013). VOSviewer manual. Leiden: Universiteit Leiden. 1–53.

Vistara, M. F., Rochmad, R., & Wijayanti, K. (2022). Systematic literature review: STEM approach through engineering design process with project based learning model to improve mathematical creative thinking skills. Mathematics Education Journal, 6(2), 140–156.

Weiland, T. (2017). Problematizing statistical literacy: An intersection of critical and statistical literacies. Educational Studies in Mathematics, 96(1), 33–47.

Wilkins, J. L. (2016). An assessment of the quantitative literacy of undergraduate students. The Journal of Experimental Education, 84(4), 639–665. https://doi.org/10.1080/00220973.2015.1111854

Zhang, H., Fang, L. (2019). Project-Based Learning for Statistical Literacy: A Gamification Approach. In T. Väljataga & M. Laanpere (Eds.), Digital Turn in Schools—Research, Policy, Practice. Proceedings of ICEM 2018 Conference (pp. 3–16). Singapore: Springer.

Downloads

Published

2026-02-21

Conference Proceedings Volume

Section

Topic 4: (re)Defining Literacy in the Age of Data