• 공학교육연구
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• 제27권5호
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• pp.17-23
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• 2024

The core of artificial intelligence technology is the power of software, and programming has become a craze in recent years due to the growing interest. The purpose of this study is to explore factors that affect the programming academic performance of engineering college students. In order to analyze the factors, 153 college students (4 classes) who applied for the 'Programming Language and Practice' course, which is a compulsory course in Information and Communication Engineering (ICE) at a university located in Metropolitan City, analyzed the relationship between their test scores, attendance, assignments reflecting the learner's personality type, SAT scores, and high school record. As a result of the analysis, it was found that attendance and assignments were found to have a positive correlation with programming performance at a significant level of 5% and 1%, and in particular, assignments provided a significant effect on programming performance through multiple regression analysis. In the analysis of the correlation between SAT scores and high school record with programming score, there were no significant correlation in all four classes. The implications of these results were examined in conjunction with prior studies, and the limitations of this study and points to be supplemented in future studies were suggested.