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A Study on the Comparison of Educational Effects between Convergence Majors and Single Majors in R Lecture

  • 투고 : 2020.05.07
  • 심사 : 2020.05.14
  • 발행 : 2020.08.31

초록

The purpose of this paper is an analysis of the difference between convergence majors and single majors in the convergence core competency and educational performance. We used survey data for the analysis of the convergence core competencies, the results of the midterm and final exams for the education performance. Analysis targets are 10 students in big data business intelligence at Seokyeong University as convergence majors and 11 students in business administration as single majors. The target course was an analysis of economic data provided in the second semester of 2019. And the lecture contents were analysis of big data using R programming. The survey was conducted on December 5, 2019. The convergence core competences were creative thinking, critical thinking, understanding convergence knowledge, problem solving ability, communication skills, cooperation ability, use of convergence tools, consideration, and responsibility. As results of homogeneity tests, we found that there was no significant difference in all competencies, but there were very significant differences in the educational performance evaluated by the midterm and final exams. Therefore we can see willingness to convergence of single majors was no different from that of convergence majors, but had not led to practice. It is desirable to activate and support convergence courses.

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참고문헌

  1. The Ministry of Education; https://happyedu.moe.go.kr/happy/bbs/selectHappyArticle.do?bbsId=BBSMSTR_000000005103&nttId=8307
  2. G.Y. Ryu and T.H. Hwan, Research on Activating Convergence Education, Research Report, SeoKyeong University, 2019.
  3. K.M. Park, Y.H. Choi, J.H. Hong, K.N. Lee, S.H. Moon, J.M. Tae, K.P. Lee, B.K. and Min, K.S. Noh, A Validity study on the Key Competencies Factors of STEAM, The Korean Journal of Technology Education(KJTE), Vol. 3, No. 3, pp. 214-234, March 2014.
  4. L. Spencer and S. Spencer, Competence at Work: Models for Superior Performance, John Wiley & Sons Inc., 1993.
  5. OECD, Definition and selection of competencies: Theoretical and conceptual foundations(DeSeCo) - Summary of the final report, OECD Press, 2003.
  6. J.M. Kang and S.W. Lee, Algorithm Design to Judge Fake News based on Big data and Artificial Intelligence, International Journal of Internet, Broadcasting and Communication(IJIBC), Vol. 11. No. 2, pp50-58, 2019. DOI: http://dx.doi.org/10.7236/IJIBC.2019.11.2.50
  7. G.Y. Ryu, A Study on Open API of Securities and Investment Companies for Activating Big Data, International Journal of Advanced Smart Convergence(IJASC), Vol. 8, No. 2, pp102-108, 2019. DOI: http://dx.doi.org/10.7236/IJASC.2019.8.2.102
  8. A. Holmes, B. Illowsky, and S. Dean, Introductory Business Statistics, Openstax, 2017.
  9. G.Y. Ryu, A Study on Comparison and Classification of Response Time of Mobile Portals, The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), Vol. 18, No. 3, pp1-7, 2018. DOI: https://doi.org/10.7236/JIIBC.2018.18.3.1
  10. D. Anderson, D. Sweeney, and T. Williams, Essentials of Modern Business Statistics with Microsoft, CENGAGE, 2014.