Research of Computational Thinking based on Analyzed in Each Major Learner

Jungin Kwon

Abstract


The rapid development of a software-core society emphasizes the importance of software competence as a basic condition for all academic disciplines. The purpose of this study is to investigate the difference of perceptions among students of basic software education which is currently being conducted in university. The results of applying the nine core elements of Computational Thinking for Problem Solving to the learners of the each majors are as follows. In humanities, learners mainly applied the elements of Data Collection, Problem Decomposition and Automation. On the other hand, natural science department learners mainly applied the elements of Data Analysis, Algorithm and Automation. In addition, arts learners mainly applied elements of Data Representation, Abstraction, and Automation. To apply Computational Thinking to the development of software, humanities learners mainly applied elements of Data Collection, Algorithm, Automation. On the other hand, natural science department learners mainly applied the elements of Data Analysis, Algorithm and Automation. In addition, arts learners mainly applied elements of Data Representation, Abstraction, and Automation. Based on the results of this study, it is expected that the educational effectiveness of the learner will be maximized by including the learner analysis with each majors in the design of the basic software curriculum that each university is conducting.


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References


Bar, D., Harrison, J., and Conery, L., “Computational thinking: A Digital Age Skill for Everyone,” Learning & Learning with Technology, Vol. 38, No. 6, pp. 20-23, 2011.

Carlisle, M. C., Wilson, T. A., Humphries, J. W., and Hadfield, S. M., “RAPTOR: Introducing Programming to Non-Majors with Flowcharts,” Journal of Computing Sciences in Colleges, Vol. 19, No. 4, pp. 52-60, 2004.

Choi, J. W., “A Comparative Analysis of Curriculums for Software-related Departments based on Topic Modeling,” The Journal of Society for e-Business Studies, Vol. 22, No. 4, pp. 193-214, 2017.

Computer Science Teachers Association & International Society for Technology in Education, Computational Thinking Teacher Resources, http://csta.acm.org/Curriculum/sub/CompThinking.html, 2011.

Kim, C., “Needs of Improving the Curriculum of National University of Education for Strengthening SW Education,” Journal of the Korean Association of Information Education, Vol. 23, No. 1, 2019.

Kim, W. S., “A Study on the Recognition of Freshman on Computational Thinking as Essential Course,” Culture and Convergence, Vol. 39, No. 6, pp. 141-170, 2017.

Korea Institute for Curriculum and Evaluation, “Introduction to the revised curriculum in 2015”, Research Report CRC 2015-28, 2015.

Kwon, J. I. and Kim, J. H., “A Study on Design and Development of SW Course based on Computational Thinking”, in Proc of Asia Pacific International Conference on Information Science and Technology(APIC-IST), 2017.

Kwon, J. I., “A Study on the Effectiveness of Computational Thinking based Teaching and Learning on Students’ Creative Problem Solving Skills,” Ph.D. Dissertation, Sungkyunkwan University, 2014.

Lee, M. S., “Non-Engineering Challenges of Software Education,” The Korean Association of General Educational Conference, pp. 135-140, 2016.

Lee, S. J., “A Study on Designing a Class of Convergence Thinking based on Computational Thinking,” The Korean Society of Science & Art 36, pp. 255-26, 2018.

Papert, S., “An Exploration in the Space of Mathematics Educations,” International Journal of Computers for Mathematical Learning, Vol. 1, No. 1, pp. 95-123, 1996.

Schwab, K., “Introduction in The Fourth Industrial Revolution,” https://www.weforum.org/about/the-fourth-industrial-revolutionby-klaus-schwab (retrieved on February 1, 2017), 2016.

Su, E. K., “Development of Creative Thinking and Coding Course method on Design Thinking using Flipped Learning,” Journal of Learner-Centered Curriculum and Instruction, Vol. 17, No. 16, pp. 173-199, 2017.

Urban-Lurain, M. and Weinshank, D. J., “Is There A Role for Programming in Non-Major Computer Science Courses?,” Frontiers in Education Conference, FIE2000 30th Annual, 2000.

Wing, J. M., “Computational Thinking and Thinking about Computing,” Philosophical Transactions of the Royal Society, Vol. 366, pp. 3717-3725, 2008.

Wing, J. M., “Computational Thinking,” Communications of the ACM, Vol. 49, No. 3, pp. 33-35, 2006.


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