Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

The Improvement Effectiveness of Computational Thinking through Scratch Education

  • Shin, Soo-Bum (Dept. of Computer Education, Gonju Nat'l University)
  • Received : 2015.08.24
  • Accepted : 2015.11.14
  • Published : 2015.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, it has been activated the software education or coding education for the improvement of the Computational Thinking (CT) ability at home and abroad. Also the CT has influence on courses of Computer Science in the college levels. It has been introduced and the number of cases of using it to general K12 education has increased. However, the research on the software education's influence on the CT was still lacking. So In this paper, we proposed this study has been conducted on how Scratch education in the elementary school level influenced the ability of the CT. And we proposed software education can improve the ability of CT. First, we provided the theoretical base of the software education and evaluation process through analysis of computational thinking ability. A core analysis content of the CT is broader than algorithmic thinking and can be achieved without using computer. It includes abstract, algorithmic, logical, and measurable thinking. Second, we made efforts to improve the characteristics of the software education with categorization. Finally, we have managed the software education using Picoboard with Scratch and flowchart within 15 weeks based on these theocratical research. An examination of the effectiveness was committed to understand, analyze, and develop strategies of problem solving. It is designed as a strategy of problem solving before and after the software lesson. The result of the software education has improved authentically in all areas without the need to design a strategy for problem solving.

Keywords

References

  1. MOE, A Promotion Plan of Cultivation Peoples of Talent for Oriented Society of Software. 2015http://www.moe.go.kr.
  2. Linda Mannila, Valentina Dagiene, Barbara Demo, Natasa Grgurina, Claudio Mirolo, Lennart Rolandsson, Amber Settle, Computational Thinking in K-9 Education. ITiCSE-WGR'14, pp. 1-3, June. 2014.
  3. Jeannette Wing (2006). Computational Thinking. Communications of the ACM . Vol. 49 No 3, pp. 33-35, March. 2006 https://doi.org/10.1145/1118178.1118215
  4. Google CS4HS Workshop(2013). Compuational Thinking. Jul. http://www.cs.unomaha.edu/-hsiy/CS4HS
  5. Wikipedia(2015). http://www.wikipedia.org
  6. Glenn Brookshear, Computer Science an overview Addison Wesley, 5th Edition. pp. 2-5, 1998.
  7. Heather Bort, Dennis Brylow, CS4Impact: Measuring Computational Thinking Concepts Present in CS4HS Participant Lesson Plans. SIGCSE'13, pp. 427-428, Mar. 2013.
  8. Tim Bell, A low-cost high-impact Computer Science show for family audiences. Australasian Computer Science Conference. Canberra, pp. 10-16, Jan. 2000.
  9. Steven K. Andrianoff, David B. Levine, Role Playing in an Object-Oriented World. SIGCSE'02. Kentucky, USA. p. 121, Feb-Mar. 2002.
  10. Soobum Shin, Selection Strategies of Educational Programming Language. Educational Material 2014-00. KERIS. p. 42, 2014.
  11. Young Developer - Visual Programming Software Tools http://www.oracle.com/technetwork
  12. Mike Richard, Marian Petre, Arosha K. Bandara, Starting with Ubicomp: Using the SenseBoard to Introduce Computing. SIGCSE'12, p. 587, Feb-Mar. 2012.
  13. Chulakorn Aritajati, Mary Beth Rosson, Joslenne Pena, Dana Cinque, Ana Segura. A Socio-Cognitive Analysis of Summer Camp Outcomes and Experiences. SIGCSE'14, Mar. p. 583. 2015
  14. Jeong-Bum Song, Tae-Wuk Lee, The Effect of Programming Education using Pico Cricket on Improving Problem Solving Ability. Journal of Korean Practical Arts Education. Vol.14 No.4, pp. 243-258, 2008. https://doi.org/10.17055/jpaer.2008.14.4.243
  15. Lee Yeoung Jun, Lee Eun Kyung, An Algorithm Learning Program with Robot. The Journal of Korean association of computer education . Vol.12 No.1. pp. 42-43, 2008.
  16. Barry Fagin, Laurence Merkle, Quantitative Analysis of the Effects of Robots on Introductory Computer Science Education. JERIC. Vol 2. No 4, p. 2, 2002.
  17. Lauren Rich, Heather Perry, Mark Guzdial. A CS1 Course Designed to Address Interests of Women. SIGCSE'04, Virginia. pp. 190-191, Mar. 2004.
  18. Jean-Paul Tremblay, Richard B. Bunt, Introduction to Computer Science. McGraw-Hill. p 21, 1989.
  19. Kim, JongHye, Secondary Education Program for Problem-solving Ability based on Computational Thinking. A Doctor's Thesis. Korea University Graduate School. pp 221-259, 2009.

Cited by

  1. The Evaluation Tool and Process for Effective Education Outcomes Measurement and Analysis of Computer Education vol.21, pp.9, 2015, https://doi.org/10.9708/jksci.2016.21.9.149
  2. A Study on the Development and Implementation of Computational Thinking Education Framework vol.21, pp.9, 2015, https://doi.org/10.9708/jksci.2016.21.9.177
  3. 스크래치 활용 게임 프로그래밍 학습이 수학교과 흥미와 가치인식에 미치는 영향 vol.21, pp.2, 2015, https://doi.org/10.14352/jkaie.2017.21.2.199
  4. Development of Digital Contents to Improve Computational Thinking vol.22, pp.12, 2015, https://doi.org/10.9708/jksci.2017.22.12.087
  5. Development of Creative Convergence Education Program for Engineering College Students vol.23, pp.5, 2015, https://doi.org/10.9708/jksci.2018.23.05.015
  6. A Study on Software Analysis and Design Education Model based on Computational Thinking vol.20, pp.5, 2015, https://doi.org/10.9728/dcs.2019.20.5.947
  7. The Analysis of Design and Effect for Software Non-majors of Computing Education Model using Excel vol.20, pp.10, 2019, https://doi.org/10.9728/dcs.2019.20.10.1969
  8. Computational Thinking Education in the Asian Pacific Region vol.29, pp.1, 2020, https://doi.org/10.1007/s40299-019-00494-w