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http://dx.doi.org/10.22156/CS4SMB.2019.9.2.049

Analysis of Correlation between Satisfaction and Academic Achievement of Software Education Based on Problem-solving Learning  

Lee, Youngseok (KNU College of Liberal Arts and Sciences, Kangnam University)
Cho, Jungwon (Department of Computer Education, Jeju National University)
Publication Information
Journal of Convergence for Information Technology / v.9, no.2, 2019 , pp. 49-54 More about this Journal
Abstract
University education emphasizes the development of convergent as well as computational thinking, many universities provide software education to improve their problem-solving ability. In this study, we use Python programming based on problem-solving learning, and analyze the correlation between problem-solving learning satisfaction and academic achievement. A questionnaire survey was conducted among 143 students, we tried to analyze the relationship of problem-solving learning with actual academic performance using correlation and multiple regression analysis. The results indicate a relationship between satisfaction and academic achievement, and that it affects students' academic achievement. The ability to identify various problem situations and solve problems using computational thinking will become increasingly important, it is desirable that the universities provide software education based on problem-solving learning.
Keywords
Problem-solving Learning; Software Education; Python Programming; Academic Achievement; Learning Satisfaction; Correlation Analysis;
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Times Cited By KSCI : 8  (Citation Analysis)
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