General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2014 Vol.6(4): 341-345 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.886

Computational Modeling and Simulation for Learning an Automation Concept in Programming Course

Yong Cheon Kim, Dai Young Kwon, and Won Gyu Lee

Abstract—Computational thinking is a fundamental skill for living in the 21st century. The essence of computational thinking is abstraction and automation. Computer science and the concept of automation is affecting various parts our lives. The concept of automation can be improved through the programming activities to design an algorithm, and to implement using a programming language. In this paper, we propose modeling and simulation steps in a programming activity that can learn the concept of automation. And, we are trying to see how modeling and simulation steps can help in the process of modeling practical problems and how they can solve them.

Index Terms—Computational thinking, programming, automation, computational modeling, simulation.

The authors are with the Department of Computer Science Education, Korea University, Seoul 136-701, Korea (e-mail: {yongcheon.kim, daiyoung.kwon, lee}@inc.korea.ac.kr).

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Cite:Yong Cheon Kim, Dai Young Kwon, and Won Gyu Lee, "Computational Modeling and Simulation for Learning an Automation Concept in Programming Course," International Journal of Computer Theory and Engineering vol. 6, no. 4, pp. 341-345, 2014.


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