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http://dx.doi.org/10.14400/JDC.2019.17.10.023

A Study on the Verification of Computational Thinking Effectiveness of Understanding-Oriented SW Basic Education Program  

Oh, Kyung-Sun (Sang-Huh College, Konkuk University)
Kwon, Jung-In (College of Kyedang General Education, Sangmyung University)
Publication Information
Journal of Digital Convergence / v.17, no.10, 2019 , pp. 23-35 More about this Journal
Abstract
In order to cultivate talented people who have problem solving ability due to computational thinking according to the trend of the fourth industrial revolution, each university is actively promoting software education. This study suggests that understanding-oriented SW curriculum is needed for non-majors students to improve computational thinking. In order to achieve the purpose of the study, this study designed the basic education program based on the understanding of the SW with the backward design model. The SW Basic Education Program was applied to 15 weeks of instruction and conducted three surveys. The positive effects of the understanding-oriented SW basic education on the computational thinking efficacy and the computer perception were verified. In addition, it was found that the understanding-oriented computational thinking and programming education are effective when they are linked to one process. It is expected that understanding-based SW based education, which uses the backward design model, can be applied as one of the efficient ways to improve computational thinking in the education field.
Keywords
Computational Thinking; SW Education; Programming Education; SW Basic Education; Backward;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 S. Y. Pi. (2016). A Study on Coding Education of Non-Computer Majors for IT Convergence Education. Journal of Digital Convergence, 14(10), 1-8. DOI : 10.14400/JDC.2016.14.10.1   DOI
2 Y. H. Shin, H. J. Jung & E. K. Suh. (2019). Effect of Coding Education Program based on Design Thinking for Non-engineering students. Korean Association For Learner-Centered Curriculum And Instruction, 19(10), 351-373. DOI : 10.22251/jlcci.2019.19.10.351   DOI
3 K. S. No. (2014). SPSS & AMOS 21. Seoul: Hanbit.
4 H. J. No. (2014). Principal component analysis & factor analysis. Seoul: Hanol.
5 K-12 Computer Science Framework Steering Committee. (2016). K-12 Computer Science Framework(2016). NY : CSTA. DOI : 10.1007/s10639-016-9493-x
6 Alan Bundy(2007). Computational Thinking is Pervasive. Journal of Scientific and Practical Computing, 1(2), 67-69. https://core.ac.uk/download/pdf/28961399.pdf
7 M. Tedre & P. J. Denning. (2016). The long quest for computational thinking. Proceedings of the 16th Koli Calling Conference. (pp. 120-129). New York, NY : Computing Education Research. DOI : 10.1145/2999541.2999542
8 H. S. Choi. (2018). Domestic Literature Review on Computational Thinking Development through Software Programming Education. Journal of Educational Technology, 34(3), 743-774. DOI : 10.17232/KSET.34.3.743   DOI
9 H. H. Cho & J. Y. Kim. (2019). A Meta-Analysis of the Effects of Backward Design-Based Instruction. The Journal of Curriculum Studies, 37(1), 57-84. DOI : 10.5230/jgc.2019.19.e7
10 P. Denning. (2017). Remaining trouble spots with computational thinking. Communications of the ACM, 60(6), 33-39. DOI : 10.1145/2998438   DOI
11 Education department. (2019). 2015 Revised National Curriculum Retrieved. http://www.ncic.re.kr/nation.dwn.ogf.inventoryList.do?orgAttNo=10000078
12 J. S. Sung & H. C. Kim. (2015). Analysis on the international comparison of computer education in schools. The Journal of Korean association of computer education, 18(1), 45-54. http://www.koreascience.or.kr/article/JAKO201509365223298.pub   DOI
13 K. S. Noh & S. J. Ahh & K. S. Oh. (2019). Computational Thinking. seoul : Ehan.
14 S. R. Derus & A. Z. M. Ali. (2012). Difficulties in learning programming Views of students. Proceedings of the International Conference(pp.74-78). Singapore : ICIE. DOI : 10.13140/2.1.1055.7441
15 J. G. Jeong & J. N. Baek & S. S. Kim. (2009). The Development of Adoption Criterion about Multiple Intelligence Theory for Special Class Teachers. The Journal of Special Education : Theory and Practice, 10(1), 1-21. DOI : 10.19049/JSPED.10.1.01
16 Y. H. Lee & D. H. Gu. (2015). A Study on Instructional Design of Software Curriculum Using Backward Design Model. Journal of The Korean Association of information Education, 19(4), 409-418. DOI : 10.14352/jkaie.2015.19.4.409   DOI
17 W. W. Park & S. Y. Son & H. S. Park & H. S. Park. (2010). A proposal on determining appropriate sample size considering statistical conclusion validity. Seoul Journal of Industrial Relations, 21, 51-85. http://hdl.handle.net/10371/144993
18 Korea Foundation for the Advancement of Science and Creativity. (2016). A Study on Surveying the Actual Conditions and Evaluating the Effectiveness of SW Education in Elementary and Secondary Schools. Seoul : KFASC. http://www.ndsl.kr/ndsl/search/detail/report/reportSearchResultDetail.do?cn=TRKO201600014678
19 J. H. Ku. (2017). Designing an App Inventor Curriculum for Computational Thinking based Non-majors Software Education. Journal of Convergence for Information Technology, 7(1), 61-66. http://www.earticle.net/Article/A296598   DOI
20 G. D. Kim & K. S. Park. (2018). Educational Strategy for Practical Convergence using Module Curriculum in University. Journal of the Korea Convergence Society, 9(7), 205-211. http://www.earticle.net/Article/A333820   DOI
21 Wing. J. M. (2008). Computational Thinking and Thinking About Computing. Philosophical Transactions of the Royal Society. 366(1881), 3717-3725. DOI : 10.1109/ipdps.2008.4536091   DOI
22 S. J. Ahh & K. S. Oh. (2015). A study on the relationship between difficulty in learning to program and Computational Thinking. The journal of korean association of computer education, 18(5), 55-62.   DOI
23 C. S. Na, H. Joo, J. J. Lee & D. S. Kim. (2018). Inducing Computational Thinking in Korean SW Education: Synthesizing Standardized Mean Changes through Meta-analysis. The Journal of Educational Technology, 34(3), 775-815. DOI : 10.17232/KSET.34.3.775   DOI
24 Y. N. Lim & H. J. Hwang. (2018). An Analysis of the Characteristics of Curriculum Development Practices by "Understanding by Design": Focusing on the "Identifying Desired Results" Phase of Backward Design. Korean Association For Learner-Centered Curriculum And Instruction. 18(20), 243-268. DOI : 10.22251/jlcci.2018.18.20.243   DOI
25 H. S. Kang. & J. E. Yi. (2010). In Search of the Applicability of Backward Design to Elementary Classroom. The Journal of Elementary Education). 23(2), 383-409. http://db.koreascholar.com/Article?code=347519
26 McTighe, J. & Wiggins, G. (2004). Understanding by design: Professional development workbook. Alexandria, VA : Association for Supervision and Curriculum Development. DOI : 10.14483/calj.v19n1.11490
27 K. S. Oh. (2016). A study on the contents of computational thinking for programming education. Ph.D. dissertation, Sungkyunkwan University, Seoul.
28 K. S. Oh, E. K. Su & H. J. Chung. (2018). A study on development of educational contents about combining computational thinking with design thinking. Journal of Digital Convergence, 16(5), 65-73. DOI : 10.14400/JDC.2018.16.5.065   DOI