Systematic Reviews and Meta Analysis
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Data Literacy and Education: A Science Mapping Study

Year 2024, Volume: 11 Issue: 3, 220 - 243, 02.05.2024

Çağrı Demirtaş

https://doi.org/10.17275/per.24.43.11.3

Abstract

Nowadays, large amounts of data are produced in every field, and these data have become a strategic asset for individuals, businesses, states, and societies. Data literacy involves the skills of using these data effectively. The first aim of the current study is to determine in which years and in which periods more research has been conducted on education and data literacy, reveal the trends in this field over time, and understand what is at the forefront in education and data literacy by analyzing changes in research trends. The second aim of this study is to understand which topics have a wider impact in the field by examining the content of the most cited studies, and to evaluate the potential for collaboration by analyzing the collaborative tendencies and main topic focuses of authors and organizations. This study adopted a science mapping method to examine the relationship in the field of education and data literacy and reveal a general condition of the research on this subject. Data for this study were collected through the Web of Science (WoS) database. As a result of the analysis, an apparent increase in research on education and data literacy since 2011 was examined, and a trend that peaked in 2020 but rose again in 2022 was identified. It was shown that technology and big data-oriented studies have gained importance in thematic evolution. This analysis provides a valuable resource for understanding the current state in the field of education and data literacy and identifying strategies for potential areas of future development.

Keywords

Data Literacy Social Studies Education İnformation Age Digital

References

  • Ackoff, R. L. (1989). "From Data to Wisdom," Journal of Applied Systems Analysis, 16, 3-9.
  • Amidon, D. M. (1997). Innovation Strategy for the Knowledge Economy: The Ken Awakening. Butterworth-Heinemann.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  • Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the evolution of social research and data science on 30 years of social indicators research. Social Indicators Research, 1–29. https://doi.org/10.1007/s11205- 020-02281-3
  • Braam, R. R., Moed, H. F., & Van Raan, A. F. (1991). Mapping of science by combined co-citation and word analysis. I. Structural aspects. Journal of the American Society for Information Science, 42(4), 233-251.
  • Calzada Prado, J., & Marzal, M. A. (2013). Incorporating data literacy into information literacy programs: Core competencies and contents. Libri, 63(2), 123-134.
  • Canada, Council of Ministers of Education. (2023). The Ontario curriculum: Social studies, grades 1 to 6; History and geography, grades 7 and 8. Retrieved from https://www.dcp.edu.gov.on.ca/en/curriculum/elementary-sshg/grades/g2-ss/downloads
  • Canada, Newfoundland and Labrador Department of Education. (2018). Social studies 1201 curriculum guide. Retrieved from https://www.gov.nl.ca/education/files/Social_Studies_1202_2018.pdf
  • Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs: A study of students and research faculty. Portal: Libraries and the Academy, 11(2), 629-657.
  • Chen, B., Chang, Y. H., Ouyang, F., & Zhou, W. (2018). Fostering student engagement in online discussion through social learning analytics. The Internet and Higher Education, 37, 21-30.
  • Davenport, H. T., & Prusak, L. (2000). Working Knowledge: How Organizations Manage What They Know. Harvard Business School Press.
  • Deahl, E. (2014). Better the data you know: Developing youth data literacy in schools and informal learning environments [Master's thesis, Massachusetts Institute of Technology].
  • Demirtaş, Ç. (2022). Sosyal bilgiler eğitimi için bilgi okuryazarlığı modeli önerisi [A model proposal for knowledge literacy in social studies education]. Bolu Abant İzzet Baysal University, Graduate School of Education.
  • Fontichiaro, K., & Oehrli, J. A. (2016). Why data literacy matters. Knowledge Quest, 44(5), 21-27.
  • Gebre, E. H. (2018). Young adults’ understanding and use of data: Insights for fostering secondary school students’ data literacy. Canadian Journal of Science, Mathematics and Technology Education, 18(4), 330-341.
  • Gençer, R., & Altun, A. (2021). Dijitalleşme, bilgi hiyerarşisini değiştirdi mi? (VEBB: veri, enformasyon, bilgi ve bilgelik) [Has digitalization changed the hierarchy of knowledge (DIKW: data, information, knowledge, and wisdom)?]. Diyalektolog-Uluslararası Sosyal Bilimler Dergisi [Dialectologist-International Journal of Social Sciences], (27).
  • Hoogland, I., Schildkamp, K., Van der Kleij, F., Heitink, M., Kippers, W., Veldkamp, B., & Dijkstra, A. M. (2016). Prerequisites for data-based decision making in the classroom: Research evidence and practical illustrations. Teaching and teacher education, 60, 377-386.
  • İnan, S. (2021). Siyaset Okuryazarlığı “Yöneten Birey Olmak ve Okullarda Siyaset Eğitimi Mümkün mü?” [Political literacy: Is it possible to be a governing individual and to teach politics in schools?]. Yeni İnsan Yayınevi. İstanbul.
  • Jeffery, K. (2014). Data is the new oil: Best practices for data management & sharing. The Joint Research Centre (JRC).
  • Kelley, J. (2002). Knowledge nirvana – achieving the competitive advantage through enterprise content management and optimizing team collaboration. Xulon Press.
  • Kippers, W. B., Poortman, C. L., Schildkamp, K., & Visscher, A. J. (2018). Data literacy: What do educators learn and struggle with during a data use intervention? Studies in Educational Evaluation, 56, 21-31.
  • Koltay, T. (2015). Data literacy: In search of a name and identity. Journal of Documentation, 71(2), 401-415.
  • Liew, A. (2007). Understanding data, information, knowledge and their inter-relationships. Journal of knowledge management practice, 8(2), 1-16.
  • López-Meneses, E., Sirignano, F. M., Vázquez-Cano, E., & Ramírez-Hurtado, J. M. (2020). University students’ digital competence in three areas of the DigCom 2.1 model: A comparative study at three European universities. Australasian Journal of Educational Technology, 36(3), 69-88.
  • Mahmud, M. M., & Wong, S. F. (2022, November). Digital age: The importance of 21st century skills among the undergraduates. In Frontiers in Education (Vol. 7, Article 950553). Frontiers Media SA.
  • Mandinach, E. B., & Gummer, E. S. (2013). Building educators’ data literacy: Differing perspectives. The Journal of Educational Research & Policy Studies, 13(2), 1-5.
  • Mandinach, E. B., & Gummer, E. S. (2016). What does it mean for teachers to be data literate: Laying out the skills, knowledge, and dispositions. Teaching and Teacher Education, 60, 366-376.
  • Mandinach, E. B., & Schildkamp, K. (2021). Misconceptions about data-based decision making in education: An exploration of the literature. Studies in Educational Evaluation, 69, 100842.
  • Merriam-Webster. (2024). Data. In Merriam-Webster's Collegiate Dictionary. Erişildiği tarih: 4 Mayıs 2024. https://www.merriam-webster.com/dictionary/data
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group*, T. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269.
  • Morris, S. & Van Der Veer Martens, B. (2008). Mapping research specialties. Annual Review of Information Science and Technology, 42(1), 213–295.
  • Noyons, E. C. M., Moed, H. F., & Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study. Journal of the American society for Information Science, 50(2), 115-131.
  • Qin, J., ve D’Ignazio, J. (2010). Lessons learned from a two-year experience in science data literacy education. In Proceedings of the 31st Annual IATUL Conference (pp. 1-10), 20–24 June 2010. Retrieved from http://docs.lib.purdue.edu/iatul2010/conf/day2/5
  • Reisoğlu, İ., & Çebi, A. (2020). How can the digital competences of pre-service teachers be developed? Examining a case study through the lens of DigComp and DigCompEdu. Computers & Education, 156, 103940.
  • Rowe, S., Riggio, M., De Amicis, R., & Rowe, S. R. (2020). Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings. Education Sciences, 10(9), 234.
  • Schildkamp, K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational research, 61(3), 257-273.
  • Shreiner, T. L., & Guzdial, M. (2022). The information won't just sink in: Helping teachers provide technology‐assisted data literacy instruction in social studies. British Journal of Educational Technology, 53(5), 1134-1158.
  • Small, H. (1973). Co‐citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269.
  • Turkish Language Association. (2024). Veri. Turkish Language Association Dictionary. Retrieved May 4, 2024, from https://sozluk.gov.tr/
  • Türkiye, Ministry of National Education. (2024). Common text of teaching programs: Social studies course curriculum. Retrieved from https://gorusoneri.meb.gov.tr/
  • Ülken, H. Z. (2016). Bilgi ve değer. [Knowledge and value] Doğu Batı Yayınları.
  • Vahey, P., Rafanan, K., Patton, C., Swan, K., van’t Hooft, M., Kratcoski, A., & Stanford, T. (2012). A cross-disciplinary approach to teaching data literacy and proportionality. Educational Studies in Mathematics, 81, 179-205.
  • Vahey, P., Yarnall, L., Patton, C., Zalles, D., & Swan, K. (2006, April). Mathematizing middle school: Results from a cross-disciplinary study of data literacy. In Proceedings of the Annual Meeting of the American Educational Research Association, San Francisco, CA (pp. 1-15).
  • Web of Science. (n.d.). [Summary of relevance marked records on education and data literacy]. Retrieved July 10, 2023, from https://www.webofscience.com/wos/woscc/summary/marked/relevance/ 1?markedListId=education%20and%20data%20literacy

Year 2024, Volume: 11 Issue: 3, 220 - 243, 02.05.2024

Çağrı Demirtaş

https://doi.org/10.17275/per.24.43.11.3

Abstract

References

  • Ackoff, R. L. (1989). "From Data to Wisdom," Journal of Applied Systems Analysis, 16, 3-9.
  • Amidon, D. M. (1997). Innovation Strategy for the Knowledge Economy: The Ken Awakening. Butterworth-Heinemann.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  • Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the evolution of social research and data science on 30 years of social indicators research. Social Indicators Research, 1–29. https://doi.org/10.1007/s11205- 020-02281-3
  • Braam, R. R., Moed, H. F., & Van Raan, A. F. (1991). Mapping of science by combined co-citation and word analysis. I. Structural aspects. Journal of the American Society for Information Science, 42(4), 233-251.
  • Calzada Prado, J., & Marzal, M. A. (2013). Incorporating data literacy into information literacy programs: Core competencies and contents. Libri, 63(2), 123-134.
  • Canada, Council of Ministers of Education. (2023). The Ontario curriculum: Social studies, grades 1 to 6; History and geography, grades 7 and 8. Retrieved from https://www.dcp.edu.gov.on.ca/en/curriculum/elementary-sshg/grades/g2-ss/downloads
  • Canada, Newfoundland and Labrador Department of Education. (2018). Social studies 1201 curriculum guide. Retrieved from https://www.gov.nl.ca/education/files/Social_Studies_1202_2018.pdf
  • Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs: A study of students and research faculty. Portal: Libraries and the Academy, 11(2), 629-657.
  • Chen, B., Chang, Y. H., Ouyang, F., & Zhou, W. (2018). Fostering student engagement in online discussion through social learning analytics. The Internet and Higher Education, 37, 21-30.
  • Davenport, H. T., & Prusak, L. (2000). Working Knowledge: How Organizations Manage What They Know. Harvard Business School Press.
  • Deahl, E. (2014). Better the data you know: Developing youth data literacy in schools and informal learning environments [Master's thesis, Massachusetts Institute of Technology].
  • Demirtaş, Ç. (2022). Sosyal bilgiler eğitimi için bilgi okuryazarlığı modeli önerisi [A model proposal for knowledge literacy in social studies education]. Bolu Abant İzzet Baysal University, Graduate School of Education.
  • Fontichiaro, K., & Oehrli, J. A. (2016). Why data literacy matters. Knowledge Quest, 44(5), 21-27.
  • Gebre, E. H. (2018). Young adults’ understanding and use of data: Insights for fostering secondary school students’ data literacy. Canadian Journal of Science, Mathematics and Technology Education, 18(4), 330-341.
  • Gençer, R., & Altun, A. (2021). Dijitalleşme, bilgi hiyerarşisini değiştirdi mi? (VEBB: veri, enformasyon, bilgi ve bilgelik) [Has digitalization changed the hierarchy of knowledge (DIKW: data, information, knowledge, and wisdom)?]. Diyalektolog-Uluslararası Sosyal Bilimler Dergisi [Dialectologist-International Journal of Social Sciences], (27).
  • Hoogland, I., Schildkamp, K., Van der Kleij, F., Heitink, M., Kippers, W., Veldkamp, B., & Dijkstra, A. M. (2016). Prerequisites for data-based decision making in the classroom: Research evidence and practical illustrations. Teaching and teacher education, 60, 377-386.
  • İnan, S. (2021). Siyaset Okuryazarlığı “Yöneten Birey Olmak ve Okullarda Siyaset Eğitimi Mümkün mü?” [Political literacy: Is it possible to be a governing individual and to teach politics in schools?]. Yeni İnsan Yayınevi. İstanbul.
  • Jeffery, K. (2014). Data is the new oil: Best practices for data management & sharing. The Joint Research Centre (JRC).
  • Kelley, J. (2002). Knowledge nirvana – achieving the competitive advantage through enterprise content management and optimizing team collaboration. Xulon Press.
  • Kippers, W. B., Poortman, C. L., Schildkamp, K., & Visscher, A. J. (2018). Data literacy: What do educators learn and struggle with during a data use intervention? Studies in Educational Evaluation, 56, 21-31.
  • Koltay, T. (2015). Data literacy: In search of a name and identity. Journal of Documentation, 71(2), 401-415.
  • Liew, A. (2007). Understanding data, information, knowledge and their inter-relationships. Journal of knowledge management practice, 8(2), 1-16.
  • López-Meneses, E., Sirignano, F. M., Vázquez-Cano, E., & Ramírez-Hurtado, J. M. (2020). University students’ digital competence in three areas of the DigCom 2.1 model: A comparative study at three European universities. Australasian Journal of Educational Technology, 36(3), 69-88.
  • Mahmud, M. M., & Wong, S. F. (2022, November). Digital age: The importance of 21st century skills among the undergraduates. In Frontiers in Education (Vol. 7, Article 950553). Frontiers Media SA.
  • Mandinach, E. B., & Gummer, E. S. (2013). Building educators’ data literacy: Differing perspectives. The Journal of Educational Research & Policy Studies, 13(2), 1-5.
  • Mandinach, E. B., & Gummer, E. S. (2016). What does it mean for teachers to be data literate: Laying out the skills, knowledge, and dispositions. Teaching and Teacher Education, 60, 366-376.
  • Mandinach, E. B., & Schildkamp, K. (2021). Misconceptions about data-based decision making in education: An exploration of the literature. Studies in Educational Evaluation, 69, 100842.
  • Merriam-Webster. (2024). Data. In Merriam-Webster's Collegiate Dictionary. Erişildiği tarih: 4 Mayıs 2024. https://www.merriam-webster.com/dictionary/data
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group*, T. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269.
  • Morris, S. & Van Der Veer Martens, B. (2008). Mapping research specialties. Annual Review of Information Science and Technology, 42(1), 213–295.
  • Noyons, E. C. M., Moed, H. F., & Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study. Journal of the American society for Information Science, 50(2), 115-131.
  • Qin, J., ve D’Ignazio, J. (2010). Lessons learned from a two-year experience in science data literacy education. In Proceedings of the 31st Annual IATUL Conference (pp. 1-10), 20–24 June 2010. Retrieved from http://docs.lib.purdue.edu/iatul2010/conf/day2/5
  • Reisoğlu, İ., & Çebi, A. (2020). How can the digital competences of pre-service teachers be developed? Examining a case study through the lens of DigComp and DigCompEdu. Computers & Education, 156, 103940.
  • Rowe, S., Riggio, M., De Amicis, R., & Rowe, S. R. (2020). Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings. Education Sciences, 10(9), 234.
  • Schildkamp, K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational research, 61(3), 257-273.
  • Shreiner, T. L., & Guzdial, M. (2022). The information won't just sink in: Helping teachers provide technology‐assisted data literacy instruction in social studies. British Journal of Educational Technology, 53(5), 1134-1158.
  • Small, H. (1973). Co‐citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269.
  • Turkish Language Association. (2024). Veri. Turkish Language Association Dictionary. Retrieved May 4, 2024, from https://sozluk.gov.tr/
  • Türkiye, Ministry of National Education. (2024). Common text of teaching programs: Social studies course curriculum. Retrieved from https://gorusoneri.meb.gov.tr/
  • Ülken, H. Z. (2016). Bilgi ve değer. [Knowledge and value] Doğu Batı Yayınları.
  • Vahey, P., Rafanan, K., Patton, C., Swan, K., van’t Hooft, M., Kratcoski, A., & Stanford, T. (2012). A cross-disciplinary approach to teaching data literacy and proportionality. Educational Studies in Mathematics, 81, 179-205.
  • Vahey, P., Yarnall, L., Patton, C., Zalles, D., & Swan, K. (2006, April). Mathematizing middle school: Results from a cross-disciplinary study of data literacy. In Proceedings of the Annual Meeting of the American Educational Research Association, San Francisco, CA (pp. 1-15).
  • Web of Science. (n.d.). [Summary of relevance marked records on education and data literacy]. Retrieved July 10, 2023, from https://www.webofscience.com/wos/woscc/summary/marked/relevance/ 1?markedListId=education%20and%20data%20literacy
There are 44 citations in total.

Details

Primary Language English
Subjects Information Systems Education
Journal Section Research Articles
Authors

Çağrı Demirtaş 0000-0002-7268-6545

Early Pub Date May 13, 2024
Publication Date May 2, 2024
Submission Date January 8, 2024
Acceptance Date May 1, 2024
Published in Issue Year 2024 Volume: 11 Issue: 3

Cite

APA Demirtaş, Ç. (2024). Data Literacy and Education: A Science Mapping Study. Participatory Educational Research, 11(3), 220-243. https://doi.org/10.17275/per.24.43.11.3
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