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http://dx.doi.org/10.14400/JDC.2021.19.9.201

Verification of the effectiveness of AI education for Non-majors through PJBL-based data analysis  

Baek, Su-Jin (SW-Centric University Project, Dankook University)
Park, So-Hyun (SW-Centric University Project, Dankook University)
Publication Information
Journal of Digital Convergence / v.19, no.9, 2021 , pp. 201-207 More about this Journal
Abstract
As artificial intelligence gradually expands into jobs, iIt is necessary to nurture talents with AI literacy capabilities required for non-majors. Therefore, in this study, based on the necessity and current status of AI education, AI literacy competency improvement education was conducted for non-majors so that AI learning could be sustainable in relation to future majors. For non-majors at University D, problem-solving solutions through project-based data analysis and visualization were applied over 15 weeks, and the AI ability improvement and effectiveness of learners before and after education were analyzed and verified. As a result, it was possible to confirm a statistically significant level of positive change in the learners' data analysis and utilization ability, AI literacy ability, and AI self-efficacy. In particular, it not only improved the learners' ability to directly utilize public data to analyze and visualize it, but also improved their self-efficacy to solve problems by linking this with the use of AI.
Keywords
PJBL(Project Based Learning); AI Education; Data Literacy; Non-major education; Public Data Utilization;
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