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http://dx.doi.org/10.22156/CS4SMB.2022.12.02.157

A Case Study on Artificial Intelligence Education for Non-Computer Programming Students in Universities  

Lee, Youngseok (KNU College of Liberal Arts and Sciences, Kangnam University)
Publication Information
Journal of Convergence for Information Technology / v.12, no.2, 2022 , pp. 157-162 More about this Journal
Abstract
In a society full of knowledge and information, digital literacy and artificial intelligence (AI) education that can utilize AI technology is needed to solve numerous everyday problems based on computational thinking. In this study, data-centered AI education was conducted while teaching computer programming to non-computer programming students at universities, and the correlation between major factors related to academic performance was analyzed in addition to student satisfaction surveys. The results indicated that there was a strong correlation between grades and problem-solving ability-based tasks, and learning satisfaction. Multiple regression analysis also showed a significant effect on grades (F=225.859, p<0.001), and student satisfaction was high. The non-computer programming students were also able to understand the importance of data and the concept of AI models, focusing on specific examples of project types, and confirmed that they could use AI smoothly in their fields of interest. If further cases of AI education are explored and students' AI education is activated, it will be possible to suggest its direction that can collaborate with experts through interest in AI technology.
Keywords
Artificial intelligence education; Digital literacy; Computer programming; Satisfaction survey; Education case;
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Times Cited By KSCI : 4  (Citation Analysis)
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