DOI QR코드

DOI QR Code

Study on Educational Utilization Methods of Big Data

빅데이터의 교육적 활용 방안 연구

  • Lee, Youngseok (The Faculty of Liberal Arts, Kangnam University) ;
  • Cho, Jungwon (Department of Computer Education, Jeju National University)
  • Received : 2016.11.25
  • Accepted : 2016.12.08
  • Published : 2016.12.31

Abstract

In the recent rapidly changing IT environment, the amount of smart digital data is growing exponentially. As a result, in many areas, utilizing big data research and development services and related technologies is becoming more popular. In SMART learning, big data is used by students, teachers, parents, etc., from a perspective of the potential for many. In this paper, we describe big data and can utilize it to identify scenarios. Big data, obtained through customized learning services that can take advantage of the scheme, is proposed. To analyze educational big data processing technology for this purpose, we designed a system for big data processing. Education services offer the measures necessary to take advantage of educational big data. These measures were implemented on a test platform that operates in a cloud-based operations section for a pilot training program that can be applied properly. Teachers try using it directly, and in the interest of business and education, a survey was conducted based on enjoyment, the tools, and users' feelings (e.g., tense, worried, confident). We analyzed the results to lay the groundwork for educational use of big data.

급격한 IT 환경의 변화에 따라 스마트 시대의 다양한 디지털 데이터가 폭발적으로 증가하고 있다. 이에 따라 다양한 영역에서 빅데이터를 활용한 서비스와 관련 기술들이 연구 및 개발되고 있다. 스마트교육에 있어서 빅데이터의 활용도는 학생, 교사, 학부모 등의 입장에서 많은 잠재력을 지니고 있다. 본 논문에서는 빅데이터에 대해 알아보고, 교육적 활용 시나리오에 대해서 살펴본다. 또한 빅데이터를 통한 맞춤형 교육 서비스를 도출하고, 이를 활용할 수 있는 방안을 제안하고자 한다. 이를 위해 교육용 빅데이터 처리 기술을 분석하고, 빅데이터 처리를 위한 시스템을 설계하고, 교육용 빅데이터를 활용하기 위해서 필요한 교육 서비스 방안을 제시하였다. 이러한 방안이 제대로 적용될 수 있는지 시범적으로 업무과 교육을 위한 클라우드 기반에서 동작하는 테스트 플랫폼을 구현하였다. 이를 교사들이 직접 사용해 보고 나서, 업무와 교육에서의 흥미도, 즐거움, 도구 사용 느낌, 긴장감이나 걱정, 자신감 등을 토대로 설문을 실시하고, 그 결과를 분석하여 교육용 빅데이터를 사용하기 위한 기반을 마련하고자 한다.

Keywords

References

  1. Sang-Rak Kim, Man-Mo Kang, Sang-Moo Park, "The Future of Big Data", Communications of the Korean Institute of Information Scientists and Engineers, vol. 30, no. 6, pp. 18-24, 2012. DOI: https://doi.org/10.5573/ieek.2012.49.10.018
  2. Man-Mo Kang, Sang-Rak Kim, "The Emerging Fusion Service", Communications of the Korean Institute of Information Scientists, vol. 32, no. 2, pp. 9-21, 2014.
  3. Chen, CL Philip, and Chun-Yang Zhang. "Data-intensive applications, challenges, techniques and technologies: A survey on Big Data.", Information Sciences, 275, pp. 314-347, 2014. DOI: https://doi.org/10.1016/j.ins.2014.01.015
  4. SungMin Rue. "BigData Effects on Artificial Intelligence.", Korea Institute of Information Technology Magazine, 14.1, pp. 29-34, 2016.
  5. James Manyika & Michael Chui, "Big data: The next frontier for innovation, competition, and productivity", McKinsey Global Institute, 2011.
  6. Hashem, Ibrahim Abaker Targio, et al., "The rise of "big data" on cloud computing: Review and open research issues.", Information Systems, 47, pp. 98-115, 2015. DOI: https://doi.org/10.1016/j.is.2014.07.006
  7. Seo, Hyung-Jun. "Critical Discussion for Digital Divide Research.", The Journal of the Korea Contents Association, 14.11, pp. 657-666, 2014. https://doi.org/10.5392/JKCA.2014.14.11.657
  8. Sheppard, B, "T-Mobile Challenges Churn With Data", http://radar.oreilly.com/2011/08/t-mobile-challengeschurn- with.html, 2011. DOI: https://doi.org/10.5392/JKCA.2014.14.11.657
  9. Julie Kim, Hyokyung Bahn, "An Efficient Log Data Management Architecture for Big Data Processing in Cloud Computing Environments", The Journal of the Institute of Internet, Broadcasting and Communication, vol. 13, no. 2, pp. 1-7, 2013. DOI: http://dx.doi.org/10.7236/JIIBC.2013.13.2.1
  10. Lee, Jeong-Mee. "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, pp. 53-73, 2013.
  11. Y. S. Lee, J. W. Cho, "The Using Method of Educational Big Data under Cloud Computing Environment", Proceedings of the Korean Information Science Society Conference (2013.11), pp. 761-763, 2013.
  12. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, http://www.cisco.com/c/en/us/solutions/collateral/serviceprovider/visual-networking-index-vni/mobile-white-paper-c11-520862.html, 2016.
  13. Nam Yong Kim. "The Big Data Application Plan of The Local Government - In the focus of Uijeongbu City.", The e-Business Studies, 16.4, pp. 27-49, 2015. https://doi.org/10.15719/geba.16.4.201508.27
  14. Kim, Yoo-Sin, Nam-Gyu Kim, and Seung-Ryul Jeong. "Stock-Index Invest Model Using News Big Data Opinion Mining", Journal of Intelligence and Information Systems, 18.2, pp. 143-156, 2012. https://doi.org/10.13088/JIIS.2012.18.2.143
  15. Yong-Soo Lee, Jun Heo, Yong-Hoon Choi, "A Study for Space-based Energy Management System to Minimizing Power Consumption in the Big Data Environments", The Journal of The Institute of Internet, Broadcasting and Communication, vol. 13, no. 6, pp. 229-235, Dec. 2013. DOI: http://dx.doi.org/10.7236/JIIBC.2013.13.6.229"
  16. What is a big data?, http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html, 2016.
  17. J. M. Kang, Y. J. Song, "A Study on Structural Holes of Privacy Protection for Life Logging Service as analyzing/processing of Big-Data", The Journal of IIBC, vol. 14, no. 1, pp. 189-193, Feb. 28, 2014. DOI: http://dx.doi.org/10.7236/JIIBC.2014.14.1.189