Acknowledgement
이 논문은 2021학년도 서울여자대학교 연구년 수혜 및 2023년 교내연구비의 지원을 받았음(2023-0156).
References
- Baek, Bongsam (2023, April 26). The expanding Generative AI market with ChatGPT... increasing emphasis on high-quality data. ZDNet Korea. Available: https://zdnet.co.kr/view/?no=20230426003045
- Choi, Sook-Young (2022). A study on the AI literacy framework. The Journal of Korean Association of Computer Education, 25(5), 73-84. https://doi.org/10.32431/kace.2022.25.5.007
- Constitution of the Republic of Korea. Article 70, Section 1, Chapter 4. Available: National Assembly Law Information System. http://likms.assembly.go.kr/law/lawsLawtInqyDetl1010.do
- Gu, Bon Kwon (2023). Essential competence in the era of ChatGPT: 'AI Literacy'. KISO Journal, 50, 36-39.
- Han, Sang Woo (2018). A study about the concept of data literacy based on digital humanities. Journal of the Korean Society for Information Management, 35(4), 223-236. http://dx.doi.org/10.3743/KOSIM.2018.35.4.223
- Kim, Jihyun (2018). A content analysis of research data management training programs at the University Libraries in North America: focusing on data literacy competencies. Journal of the Korean Society for Information Management, 35(4), 7-36. http://dx.doi.org/10.3743/KOSIM.2018.35.4.007
- Kim, Seulki & Kim, Taeyoung (2021). A study of the definition and components of data literacy for K-12 education. Journal of The Korean Association of Information Education, 25(5), 691-704. https://doi.org/10.14352/jkaie.2021.25.5.691
- Lee, Jeong-Mee (2013). Understanding big data and utilizing its analysis into library and information services. Journal of the Korean Biblia Society for Library and Information Science, 24(4), 53-73. http://dx.doi.org/10.14699/kbiblia.2013.24.4.053
- Lee, Jeong-Mee (2019). Re-approach to the concept of data literacy and its application to library information services. Journal of the Korean Library and Information Science Society, 53(1), 159-179. http://dx.doi.org/10.4275/KSLIS.2019.53.1.159
- Burress, T., Mann, E. Z., Montgomery, S., & Walton, R. (2021). Data literacy in undergraduate education: faculty perspectives and pedagogical approaches. In Bauder, Julia Eds. Teaching Critical Thinking with Numbers: Data Literacy and the Framework for Information Literacy for Higher Education. Chicago: Association of College & Research Libraries, 1-22.
- Carmi, E., Yates, S. J., Lockley, E., & Pawluczuk, A. (2020). Data citizenship: rethinking data literacy in the age of disinformation. Internet Policy Review, 9(2), 1-22.
- Condon, P. B., Exline, E., & Buckley, L. A. (2023). Data literacy in the social sciences: findings from a local study on teaching with quantitative data in undergraduate courses. Evidence Based Library and Information Practice, 18(1), 61-75. https://doi.org/10.18438/eblip30138
- Cui, Y., Chen, F., Lutsyk, A., Leighton, J. P., & Cutumisu, M. (2023). Data literacy assessments: a systematic literature review. Assessment in Education: Principles, Policy & Practice, 30(1), 76-96. https://doi.org/10.1080/0969594X.2023.2182737
- Dawa, T., Dhendup, S., Tashi, S., & Rosso, M. A. (2020). Technology Literacies and Chat GPT: Perspectives on Emerging Technology Adoption in Academic Writing.
- Firat, M. (2023). What ChatGPT means for universities: perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57-63.
- Flierl, M., Quigley, B., Caswell, T., Costello, L., Li, C., Maher, M., ... & Yang, A. (2023). 2023 ACRL Environmental Scan. Available: https://www.ala.org/acrl/sites/ala.org.acrl/files/content/publications/whitepapers/Enviro nmentalScan2023.pdf
- Fontichiaro, K. & Johnston, M. P. (2020). Rapid shifts in educators' perceptions of data literacy priorities. Journal of Media Literacy Education, 12(3), 75-87. https://doi.org/10.23860/JMLE-2020-12-3-7
- Kirtania, D. K. & Patra, S. K. (2023). OpenAI ChatGPT generated content and similarity index: a study of selected terms from the Library & Information science (LIS). Qeios.
- Kreinsen, M. & Schulz, S. (2023). Towards the triad of digital literacy, data literacy and AI literacy in teacher education-a discussion in light of the accessibility of Novel Generative AI. Available: https://edarxiv.org/xguzk/
- Leitgob, H., Prandner, D., & Wolbring, T. (2023). Big data and machine learning in sociology. Frontiers in Sociology, 8, 1173155.
- Lo, L. S. (2023). The CLEAR path: a framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4), 102720.
- Lund, B. & Agbaji, D. (2023). Information literacy, data literacy, privacy literacy, and ChatGPT: technology literacies align with perspectives on emerging technology adoption within communities. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4324580
- Pangrazio, L. & Sefton-Green, J. (2020). The social utility of 'data literacy'. Learning, Media and Technology, 45(2), 208-220. https://doi.org/10.1080/17439884.2020.1707223
- Pothier, W. G. & Condon, P. B. (2020). Towards data literacy competencies: business students, workforce needs, and the role of the librarian. Journal of Business & Finance Librarianship, 25(3-4), 123-146. https://doi.org/10.1080/08963568.2019.1680189
- Ruedinger, D., Cooper, D. M., Minnis, S., & Schaub, G. (2022). Fostering Data Literacy Teaching with Quantitative Data in the Social Sciences. Scholarly Papers and Articles, 75.
- Shiri, A. (2023). ChatGPT and academic integrity. Information Matters. 3(2).
- Tang, Y. & Han, L. (2022, December). A review of domestic and overseas research on data literacy education. In 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022). Atlantis Press, 774-780.
- Usova, T. & Laws, R. (2021). Teaching a one-credit course on data literacy and data visualisation. Journal of Information Literacy, 15(1), 84-95. https://doi.org/10.11645/15.1.2840