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http://dx.doi.org/10.15207/JKCS.2020.11.8.033

A Study on the Diagnosis Method of Knowledge Information in Computational Thinking using LightBot  

Lee, Youngseok (KNU College of Liberal Arts and Sciences, Kangnam University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.8, 2020 , pp. 33-38 More about this Journal
Abstract
Modern society needs to think in new directions and solve problems by grafting problems from diverse fields with computers. Abstraction and automation of various problems using computing technology with your own ideas is called computational thinking. In this paper, we analyze how to diagnose and improve knowledge information based on computational thinking through the process of presenting a variety of problems in programming education situations and finding several problem-solving methods to solve them. To pretest the learners, they were diagnosed using a measurement sheet and a LightBot. By determining the correlation between the evaluation results and LightBot results, the learners' current knowledge statuses were checked, and the correlation between the evaluation results and the LightBot results, based on what was taught according to the problem-solving learning technique, was analyzed according to the proposed technique. The analysis of the group average score of the learners showed that the learning effect was significant. If the method of deriving and improving knowledge based on computational thinking ability for solving the problem proposed in this paper is applied to software education, it will induce student interest, thereby increasing the learning effect.
Keywords
Software Education; Computational Thinking; Problem Solving; Knowledge Information; Knowledge Discovery;
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Times Cited By KSCI : 23  (Citation Analysis)
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