정보화정책 (Informatization Policy)

한국지능정보사회진흥원 (National Information Society Agency)
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확장된 데이터의 특성과 맥락을 반영한 데이터 리터러시의 재개념화

Re-conceptualization of data literacy reflecting the expanded data characteristics and context

  • 투고 : 2023.03.22
  • 심사 : 2023.06.01
  • 발행 : 2023.09.30
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초록

본 연구는 일반 시민이 지녀야 할 데이터에 대한 이해와 데이터 인력 양성 정책에 필요한 기본 개념 틀을 제공하기 위해 데이터 리터러시를 재개념화했다. 이를 위해 확장된 데이터의 특성을 고찰하였고 데이터 리터러시에 관한 선행연구를 분석하여 전문가 검토를 거친 후, 재개념화된 데이터 리터러시를 제시했다. 재개념화된 데이터 리터러시에는 지식, 기술, 맥락의 세 범주와 범주별 하위 요소로 구성되어 있다. 주로 데이터를 다루는 기술 범주를 강조하였던 기존의 데이터 리터러시의 개념에 데이터의 맥락 범주를 추가하여 맥락의 범위, 시간성, 가치 지향 요소도 명시했다. 또한 지식 범주에도 요소를 구체적으로 제시했다. 재개념화된 데이터 리터러시는 정보화, 인력 양성, 행정 등의 분야에서 교육과정과 교육 프로그램 개발 등에 활용될 수 있을 것이다.

This study presented a framework for re-conceptualized data literacy that consists of three domains-knowledge, skills, and contexts- and elements that are emphasized by each domain. In addition to the existing concept of data literacy that mainly emphasized the skills to handle data, the context domain of data was considered including the elements of scope, time, and value orientation. Based on the re-conceptualized data literacy, it is expected to be usable as reference material in the development of curriculum and educational programs in the fields of informatization, manpower training, and administration.

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참고문헌

  1. Athanases, S., Bennett, L. & Wahleithner, J. (2013). "Fostering Data Literacy through Preservice Teacher Inquiry in English Language Arts." The Teacher Education, 48(1), 8-23. https://doi.org/10.1080/08878730.2012.740151
  2. Bae, H. (2019). "Educational Implications of Data Literacy in Social Studies." Theory and Research in Citizenship Education, 51(1), 95-120. 
  3. Buckingham, D. (2003). Media education: Literacy, learning and contemporary culture, Trans. S. Ki. & A. Kim (2004) Seoul: JNBook. 
  4. Buckingham, D. (2007) "Media Education Goes Digital: An Introduction." Learning, Media and Technology, 32(2), 111-119. https://doi.org/10.1080/17439880701343006
  5. Choi, H. & Kim, G. (2020). "Research on Big Data Curriculum in University Suitable for the Era of the 4th Industrial Revolution." Journal of the Korea Institute of Information and Communication Engineering, 24(11), 1562-1565. 
  6. Choi, S. (2018). "A Study on the Digital Competency for the Fourth Industrial Revolution." The Journal of Korean Association of Computer Education, 21(5), 25-35.  https://doi.org/10.32431/kace.2018.21.5.003
  7. Choi, H., Lee, S. & Kim, J. (2021). "How to Educate Big Data?: Focusing on the Design of a Curriculum in the Field of Social Science." Locality & Communication, 25(2), 27-45.  https://doi.org/10.47020/JLC.2021.05.25.2.27
  8. Chung, Y. & You, J. (2022). "Validation of Data Literacy Scale for University Students and Analysis of Freshmen Data Literacy." Korean Journal of General Education, 16(5), 245-260.  https://doi.org/10.46392/kjge.2022.16.5.245
  9. Claes, R. & Philippette, T. (2020). "Defining Critical Data Literacy for Recommender System: A Media-grounded Approach." Journal of Media Literacy Education, 12(3), 17-29.
  10. Dai, Y. (2019). "How Many Ways can We Teach Data Literacy?" IASSIST Quarterly, 43(4), 1-11. https://doi.org/10.29173/iq963
  11. Das, T. & Mohapatro, A. (2014). "A Study on Big Data Integration with Data Warehouse." International Journal of Computer Trends and Technology, 9(4), 188-192. https://doi.org/10.14445/22312803/IJCTT-V9P137
  12. Educational Testing Service (2002). Digital Transformation: A Framework for ICT Literacy. ETS.
  13. Educational Testing Service (2006). "ICT Literacy Assessment." http://choicepointmovie.com/ict_literacy_assessment_educational_testing_service.pdf. (Retrieved on January 30,
  14. Frank, M., Walker, J., Attard, J. & Tygel, A. (2016). "Data Literacy: What Is It and How Can We Make It Happen?" The Journal of Community Informatics, 12(3), 4-8.
  15. George, G., Haas, M. & Pentland, A. (2014). "Big Data and Management: From the Editors." Academy of Management Journal, 57(2), 321-326.
  16. Go, H. & Lee, Y. (2020). Design of Project Learning Based on Data Analysis Process. Paper presented at the 24th summer Korean Association of Computer Education Conference. 
  17. Gould, R. (2017). "Data Literacy is Statistical Literacy." Statistics Education Research Journal, 16(1), 22-25. https://doi.org/10.52041/serj.v16i1.209
  18. Gray, J., Gerita, C. & Bounegru, L. (2018). "Data Infrastructure Literacy." Big Data & Society, July-December, 1-13.
  19. Gray, A. (2004). "Data and Statistical Literacy for Librarians." IASSIST Quarterly, 28(2), 24-29. https://doi.org/10.29173/iq793
  20. Gummer, E. & Mandinach (2015). "Building a Conceptual Framework for Data Literacy." Teachers College Record, 117. April, 1-22. https://doi.org/10.1177/016146811511700102
  21. Han, S. (2018). "A Study about the Concept of Data Literacy based on Digital Humanities." Journal of Korean Society for Information Management, 35(4), 223-236. 
  22. Ishwarappa, J. & Anuradha, J. (2015). A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology. Paper presented at the International Conference on Intelligent Computing, Communication & Convergence.
  23. Jang, C. & Sung, W. (2022). "A Study on Policy Acceptance Intention to Use Artificial Intelligence-Based Public Services: Focusing on the Influence of Individual Perception & Digital Literacy Level." Informatization Policy, 29(1), 60-83.  https://doi.org/10.22693/NIAIP.2022.29.1.060
  24. Kim, D. (2020). "A Literature Review for Exploring Research Trends of Media, Digital, Information, & ICT Literature in Korea." Journal of Education & Culture, 26(3), 93-119. 
  25. Kim, H. (2019). "Effective Data Scientist Training Strategy in the Era of Smart Manufacturing." Entrue Journal of Information Technology, 17(1), 51-61. 
  26. Kim, H. & Kim, H. (2021). "A Curriculum Study to Strength AI and Data Science Job Competency." Informatization Policy, 28(2), 34-56.  https://doi.org/10.22693/NIAIP.2021.28.2.034
  27. Kim, J. (2022). "Digital Transformation, Digital Literacy, and Multiliteracy." Studies In Philosophy EastWest, 103, 327-353.
  28. Kim S. & Kim, T. (2021). "A Study of the Definition and Components of Data Literacy for K-12 AI Education." Journal of The Korean Association of Information Education, 25(5), 691-704.  https://doi.org/10.14352/jkaie.2021.25.5.691
  29. Kim, Y., Jung, E., Kim, J., Chang, E., Kim, C., Ahn, J., Jung, J., Yun, Y., Choi, S. & Jung, S. (2020). Understanding Multicultural Society and Literacy. Seoul: PJ books. 
  30. Kim, Y. (2005). "Approach to Literacy on Media Education-Concerning Media Language' s Concept." Journal of Korean Language and Culture, 27, 427-450. 
  31. Kjelvik, M. & Schultheis, E. (2019). "Getting Messy with Authentic Data: Exploring the Potential of Using Data from Scientific Research to Support Student Data Literacy." CBE-Life Sciences Education, 18(2), 1-8.
  32. Korea Education And Research Information Service (2002). A Study on the Standardization of ICT Literacy Standards for the General Public and Refinement of the Curriculum. Seoul: KERIS. 
  33. Korea Education And Research Information Service (2006). A Study on Developing Digital Literacy Competency Index-Measurement Tool for Elementary and Secondary School Students in Korea. Seoul: KERIS. 
  34. Korea Research Institue for Local Administration (2021). Local Government Policy Strategies for Data-driven Public Administration. Wonju: KRILA. 
  35. Korea Instutue of Public Admistration (2019). Enhancing Data-Driven Public Administration: Focused on Public Data Integration. Seoul: KIPA. 
  36. Laney, D. (2001). "3D Data Management: Controlling Data Volume, Velocity, and Variety." http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf. (Retrieved on February 2, 2023).
  37. Lakshen, G., Vranes, S. & Janey, V. (2016). Big Data and Quality: A Literature Review. Paper presented at the 24th Telecommunications Forum(TELFOR).
  38. Lawal, Z., Zakari, Rl., Shuaibu, M. & Bala, A. (2016). "A Review: Issues and Challenges in Big Data from Analytic and Storage perspectives." International Journal of Engineering And Computer Science, 5(3), 15947-15961.
  39. Lee, I. & Kim, K. (2016). "Who Owns Big Data?: Copyright Protection of Big Data and the Problem of Using Big Data in the Public Sector." Journal of Korean Association for Regional Information Society, 19(4), 37-62. 
  40. Lee, C., Yun, Y. & Han, S. (2021). "Trends in Literacy Research Using Topic Modeling and Network Analysis." The Korean Journal of Literacy Research, 12(6), 121-162. 
  41. Lee, J. (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. 
  42. Lee, Y. & Yang, H.(2017). "Intention to Use and Group Difference in Adopting Big Data: Towards a Comprehensive View." Informatization Policy, 24(1), 79-99.  https://doi.org/10.22693/NIAIP.2017.24.1.079
  43. Macy, K. & Coates, H. (2016). "Data Information Literacy Instruction in Business and Public Health: Comparative Case Studies." International Federation of Library Associations and Institutions Journal, 42(4), 313-327.
  44. Mandinach, E. & Gummer, E. (2013). "A Systemic View of Implementing Data Literacy in Educator." Educational Researcher, 42(1), 30-37. https://doi.org/10.3102/0013189X12459803
  45. Mandinach, E. & Gummer, E. (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. https://doi.org/10.1016/j.tate.2016.07.011
  46. Ministry of Education (2022). "2022 Ministry of Education Work Report." moe.go.kr/main.do?s=moe (Retrieved on January 29, 2023). 
  47. Ministry of Education (2023). "20233 Major Work Promotion Plan." moe.go.kr/main.do?s=moe (Retrieved on March 3, 2023). 
  48. Organisation for Economic Co-operation and Development (2020). "Technical Report: Curriculum Analysis of the OECD Future of Education and Skills 2030." http://www.oecd.org/education/2030- (Retrieved on February 20, 2023).
  49. Ok, I. (2022). "Exploring Ways to Cultivate Digital Citizenship through Digital Literacy Development by Using Critical Thinking Questions in Social Studies." Theory and Research in Citizenship Education, 54(3), 27-56. 
  50. Ongena, G. (2023). "Data Literacy for Improving Government Performance: A Competence-based Approach and Multidimensional Operationalization." Digital Business, 3, 1-12. https://doi.org/10.1016/j.digbus.2022.100050
  51. 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
  52. Papamitsiou, Z., Filippakis, M., Poulou, M., Sampson, D., Ifenthaler, D. & Giannakos, M. (2021). "Towards an Educational Data Literacy Framework: Enhancing the Profiles of Instructional designers and e-tutors of online and blended courses with new competences." Smart Learning Environments, 8(18), 1-26.
  53. Park, J. & Cho, Y. (2021). "Data Literacy, Organizational Culture, and Data Analytics Maturity: Moderating Effect of Organizational Culture." Informatization Policy, 28(1), 43-63.  https://doi.org/10.22693/NIAIP.2021.28.1.043
  54. Park, J. & Kim, I. (2016). "A Study on Data Resources Management Comparing Big Data Environments with Traditional Environments." The Journal of Bigdata, 1(2), 91-102. 
  55. Prado, C. & Marzal, M. (2013). "Incorporating data literacy into information literacy programs: Core competencies and contents." Libri, 63(2), 123-134.
  56. Qin, J. & D'ignazio, J. (2010). "The Central Role of Metadata in a Science Data Literacy Course." Journal of Library Metadata, 10, 188-204. https://doi.org/10.1080/19386389.2010.506379
  57. Rabhi, L., Falih, N., Afraites, A. & Bouikhalene, B. (2019). Big Data Approach and its Applications in Various Fields: Review. Paper presented at the International Workshop on Applying Data Mining Techniques to E-Learning and Pedagogical Approaches. Procedia Computer Science, 155, 599-605. https://doi.org/10.1016/j.procs.2019.08.084
  58. Reddy, P., Sharma, B. & Chaudhary, K. (2020). "Digital Literacy: A Review of Literature." International Journal of Technologies, 11(2), 65-94.
  59. Santoso, L. W. (2017). Data Warehouse with Big Data Technology for Higher Education. Paper presented at the 4th Information Systems International Conference 2017. Procedia Computer Science, 124, 93-99.
  60. Schultheis, E. & Kjelvik, M. (2020). "Using Messy, Authentic Data to Promote Data Literacy & Reveal the Nature of Science." The American Biology Teacher, 82(7), 439-446.
  61. Schield, M. (2004). "Information Literacy, Statistical Literay and Data Literacy." IASSIST Quarterly, Summer/Fall, 6-11.
  62. Song, Y., Song, S., Kim, Y. & Lim, C. (2021). "A Developmental Study of an Educational Model and Strategies for Data-Driven Debate (DDD) to Improve Data Literacy." Journal of Educational Technology, 37(4), 943-982. 
  63. Vahey, P., Rafanan, K., Patton, C., Swan, K., Hooft, M. & Kratcoski, A. (2012). "A Cross-disciplinary Approach to Teaching Data Literacy and Proportionality." Educational Studies in Mathematics, 81, 179-205.
  64. Wolff, A., Gooch, D., Cavero Montaner, J., Rashid, U. & Kortuem, G. (2016). "Creating an Understanding of Data Literacy for a Data-driven Society." The Journal of Community Informatics, 12(3), 9-26.
  65. Unpublished: Ministry of Government Administration and Home Affairs & National Information Society Agency (2017). "2017 Education for the concept of public big data." http://www.nia.or.kr/site/nia. (Retrieved on January 30, 2023).