Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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A Study on Perception of Educational Big Data Utilization and Current State of Data Utilization of Officials of the Provicial Office of Education

교육청 공무원의 데이터 활용실태 및 교육 빅데이터 활용에 관한 인식 연구 - A도교육청을 중심으로

  • 신종호 (아주대학교 다산학부대학)
  • Received : 2020.07.07
  • Accepted : 2020.09.20
  • Published : 2020.09.28
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Abstract

This study was conducted with the aim of investigating the actual state of data utilization and the perception of big data utilization by officials of the provincial Office of Education and to derive implications for the establishment of strategies for big data utilization. An online survey of 440 people was conducted. As a result, the types and sources of data used for work varied, and data collection and refining were the most difficult parts. The infrastructure for data utilization was insufficient and the most necessary factor. The purpose of big data utilization was related to the establishment of educational policy agenda.

본 연구는 교육청 공무원들의 데이터 활용 실태와 빅데이터 활용에 대한 인식을 조사하여 광역시·도교육청 차원에서의 빅데이터 활용을 위한 시사점을 도출하고자 하였다. 이를 위하여 A도교육청 공무원 440명을 대상으로 온라인 설문을 진행하였다. 조사결과 교육청 공무원들이 업무에 활용하는 데이터 유형과 출처는 다양하였으며, 데이터 활용에 있어 데이터 수집 및 정제가 가장 어려운 부분으로 인식하고 있었다. 그러나 데이터 활용을 위한 소속 교육청의 인프라는 부족한 실정으로, 빅데이터 인프라 구축이 가장 필요한 요소인 것으로 나타났다. 빅데이터에 대한 지식수준은 낮지만 빅데이터 활용의 관심과 필요성을 높게 인식하고 있었다. 빅데이터 활용 목적은 현재의 교육 문제점과 해결 대안, 미래 예측에 대한 전망과 해결, 교육 수요자들의 요구 파악 등 교육정책 의제 설정과 관련되어 있었다.

Keywords

References

  1. D. Lazer, R. Kennedy, G. King., & A. Vespignani. (2014). The Parable of Google Flu: traps in big data analysis. Science, 343(6176), 1203-1205. https://doi.org/10.1126/science.1248506
  2. Y. S. Lee. (2013). A Basic Study for Utilizing Big data in Early Childhood Education. Journal of Early Childhood Education, 37(4). 585-610.
  3. J. M. Jeong., W. J. Kim & C D. Koo. (2016). Social media big data analysis for ICT policy agenda in education. Taegu : KERIS
  4. J. H. Kim, T. H. Son., K. J. Lee & H. S. Shin. (2017). A study on the implementation of education information statistics-based policy in resporse to the big data era. Ministry of Education.
  5. S. I. Lim, J. S. Park, J. D. Kim, & W. J. Ryu. (2015). A Study on the Big Data Collection Method and Utilization of Education for the Establishment of the Gyeonggi Innovation Education Policy. Suwon : Gyeonggi Institute of Education.
  6. H. K. Ka. (2014). An Empirical Study on the Influencting Factors for Big Data Intented Adoption. Doctoral dissertation. Chungang University, Seoul.
  7. Big data. https://ko.wikipedia.org/wiki/bigdata
  8. Y. L. Yu. (2017). Analysis of media coverage on 2015 revised curriculum policy using big data analysis. Doctoral dissertation. Seoul National University, Seoul.
  9. J. S. Kim et al. (2020). Analysis of Factors Affecting Education Policy Trust and Application of Big Data. Taegu : KERIS.
  10. D. Y. Jeong, M. C. Kim, & C. H. Kim. (2018). Big Data Policy Implementation Status and Improvement of Utilization. Seoul : National Assembly Research Service.
  11. J. M. Kang. (2017). An Analysis on the Factors Affecting of Bigdata Utilization on Local Government: Focused on the Public Servants Perception in Seoul. Journal of Governance Studies, 12(1), 161-197.
  12. G. H. Park, & D. H. Son. (2017). The Determinants for the Usage of Big Data in Administrative Service: Perspective of the Quality Control Of Data. The Journal of Internet Electronic Commerce Research, 17(1), 235-257.
  13. J. H. Seo. (2020). An Exploratory Study on the Influencing Factors of Data-based Administration of Local Government : Based on the Survey of Local Government Officials. The Korean Journal of Local Government Studies, 23(4), 445-464. https://doi.org/10.20484/klog.23.4.18
  14. R. C. Joseph. (2013). Big data and Transformation government. IT Professional, 15(6), 43-48. https://doi.org/10.1109/MITP.2013.61
  15. M. Janssen et al. (2016). Factors influencing big data decision-making quality. Journal of Business Research. 70, 338-345. https://doi.org/10.1016/j.jbusres.2016.08.007
  16. B. Klievink, B. et al.,(2017). Big data in the public sector: Uncertainties and readiness. Information System Frontier, 19(2), 267-283. DOI 10.1007/s10796-016-9686-2
  17. Minister of the Interior & NIA. (2018). Public Big Data Application Guide.
  18. S. H. Lee, I. C. Kim, S. S. Kwom, I. J. Yoon, & H. J. Cho. (2015). A Study on the Data Analysis Management System for Local Government Policy Support. Seoul : Minister of the Interior