Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Python-based Software Education Model for Non-Computer Majors

컴퓨터 비전공자를 위한 파이썬 기반 소프트웨어 교육 모델

  • Lee, Youngseok (KNU College of Liberal Arts and Sciences, Kangnam University)
  • 이영석 (강남대학교 KNU 참인재대학 교양교수부)
  • Received : 2018.01.29
  • Accepted : 2018.03.20
  • Published : 2018.03.28
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Abstract

Modern society has evolved to such an extent that computing technology has become an integral part of various fields, creating new and superior value to society. Education on computer literacy, including the ability to design and build software, is now becoming a universal education that must be acquired by everyone, regardless of the field of study. Many universities are imparting software education to students to improve their problem-solving ability, including to students who are not majoring in computers. However, software education contains courses that are meant for computer majors and many students encounter difficulty in learning the grammar of programming language. To solve this problem, this paper analyzes the research outcomes of the existing software education model and proposes a Python-based software education model for students who are not majoring in computer science. Along with a Python-based software education model, this paper proposed a curriculum that can be applied during one semester, including learning procedures, and teaching strategies. This curriculum was applied to a liberal arts class and a meaningful result was derived. If the proposed software education model is applied, the students will be interested in the computer literacy class and improve their computational thinking and problem-solving ability.

컴퓨팅 기술을 다양한 분야와 융합하여 새로운 가치를 만들어내고자 하는 노력이 현대 사회에서 강조되고 있다. 이제 소프트웨어를 설계하고 제작하는 능력을 포함한 컴퓨터 소양 교육은 전공분야와 상관없이 누구에게나 이뤄져야 하는 사회 보편적인 교육으로 자리 잡고 있다. 많은 대학들이 컴퓨터 비전공 학생들을 포함하여 컴퓨팅 기술을 활용한 문제 해결력을 향상시키기 위해 소프트웨어 교육을 필수 이수하도록 시도하고 있다. 하지만, 아직은 컴퓨터 전공 학생들을 위한 프로그래밍 교육 관점에서의 소프트웨어 교육을 실시하다 보니 프로그래밍 언어 문법을 학습하는 과정에서 많은 어려움을 호소하고 있다. 이러한 문제를 해결하기 위하여, 본 논문에서는 기존의 소프트웨어 교육 모델 연구결과를 분석한 뒤, 컴퓨터 비전공자를 위한 파이썬 기반 소프트웨어 교육 모델을 제안한다. 이를 위해, 파이썬 기반 소프트웨어 교육 모델을 위한 학습절차와 교수 전략 및 한 학기 분량의 커리큘럼을 제안하였으며, 교양 수업에 적용하여 유의미한 결과를 도출하였다. 제안하는 소프트웨어 교육 모델을 적용한 강의가 진행한다면 학생들에게 흥미와 관심을 유도하면서 컴퓨팅 사고력과 문제 해결력을 향상시킬 수 있을 것이다.

Keywords

References

  1. Software Policy Division. (2015). Plan to educate human resources for software-oriented society, Ministry of Science and ICT. http://www.msit.go.kr/web/msipContents/contentsView.do?cateId=mssw315&artId=1270998
  2. S. H. Jin & S. Shin. (2013) Case Study and Needs Analysis on Convergence Education in Engineering Colleges. Journal of Engineering Education Research, 16, 29-37. https://doi.org/10.18108/jeer.2013.16.6.29
  3. H. W. Lee, H. R. Min & K. W. Yi. (2008). A Study on the Improvable Proposal of General Education Curriculum of Engineering College - A Case of Seoul National University. Journal of Engineering Education Research, 11(3), 24-32. https://doi.org/10.18108/jeer.2008.11.1.24
  4. H. Y. Jung. (2014). An Empirical Study on Information Liberal Education in University based on IT Fluency and Computational Thinking Concept. Journal of the Korea society of computer and information, 19(2), 263-274. https://doi.org/10.9708/jksci.2014.19.2.263
  5. K. Kim & H. Kim. (2014). A Case Study on Necessity of Computer Programming for Interdisciplinary Education, Journal of Digital Convergence, 12(11), 339-348, 2014. https://doi.org/10.14400/JDC.2014.12.11.339
  6. Python Software Foundation. (2017). Python about. https://www.python.org/about/
  7. P. Guo. (2014). Python is Now the Most Popular Introductory Teaching Language at Top U.S. Universities, BLOG@CACM, http://cacm.acm.org/blogs/blog-cacm/176450-python-is-now-the-most-popular-introductory-teaching-language-at-top-us-universities/fulltext.
  8. C. W. Kim. (2010). The Application of Computer Education in the Revise Curriculum. Journal of educational Research Institute, 12(1), 41-55.
  9. S. Jun. (2017). Design and Effect of Development-Oriented Model for Developing Computing Thinking in SW Education. Journal of The Korean Assocaition of Information Ecucation, 21(6), 619-627. https://doi.org/10.14352/jkaie.21.6.619
  10. J. Kim et al,. (2016). 2015 Education Policy Network Training on-site support research : Development of SW Education Teaching and Learning Model. Commissioned research CR 2015-35.
  11. J. Seo. (2017). A Case Study on Programming Learning of Non-SW Majors for SW Convergence Education. Journal of Digital Convergence, 15(7), 123-132. https://doi.org/10.14400/JDC.2017.15.7.123
  12. S. H. Kim. (2015). Analysis of Non-Computer Majors' Difficulties in Computational Thinking Education. The Journal of Korean Association of Computer Education, 18(3). 15-23.
  13. Y. Sung. (2017). Development of SW Education Model based on HVC Learning Strategy for Improving Computational Thinking. Journal of The Korean Assocaition of Information Ecucation, 21(5), 583-593. https://doi.org/10.14352/jkaie.21.5.583
  14. S. H. Park. (2016). Study of SW Education in University to enhance Computational Thinking. Journal of Digital Convergence, 14(4), 1-10. https://doi.org/10.14400/JDC.2016.14.4.1
  15. Y. Lee & J. Cho. (2017). The Influence of Python Programming Education for Raising Computational Thinking. International Journal of u- and e- Service, Science and Technology. 10(8), 59-72.
  16. KERIS. (2016). Research report KR 2016-4. http://lib.keris.or.kr/search/detail/CATLAB000000012086.