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http://dx.doi.org/10.6109/jkiice.2020.24.2.259

Application and Effect Analysis of ARCS Model to Improve Learner's Learning Motivation in Liberal Computational Thinking Subjects  

Jun, Soo-jin (Department of Innovation and Convergence, Hoseo University)
Shin, ChwaCheol (Department of Innovation and Convergence, Hoseo University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.2, 2020 , pp. 259-267 More about this Journal
Abstract
The purpose of this study is to analyze the effects of computational thinking class using ARCS model to increase students' learning motivation. Then, this study designed the detailed instruction strategy according to each motivation factor(Attention, Relevance, Confidence, Satisfaction) of ARCS through the previous study on computational thinking education and ARCS model. The results of the ARCS test were compared between the experimental group to which the ARCS model was applied and the control group to which the general class was conducted. As a result, students in the experimental group showed significantly higher motivation for learning about computational thinking. In particular, the learning motivation of computer-related majors was significantly higher than that of the control group. In addition, majors were found to have high relevance(R) and non-majors had high satisfaction(S). Therefore, based on these findings, this study suggests an improvement for effective computational thinking class in liberal arts education.
Keywords
Liberal Arts Education; Computational Thinking; Learning Motivation; ARCS Model;
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Times Cited By KSCI : 4  (Citation Analysis)
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