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http://dx.doi.org/10.14352/jkaie.2022.26.6.553

A Study on the Perception of Artificial Intelligence Literacy and Artificial Intelligence Convergence Education Using Text Mining Analysis Techniques  

Hyeok Yun (Gwangju Seonu Special School)
Jeongrang Kim (Dept. of Computer Education, Gwangju National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.26, no.6, 2022 , pp. 553-566 More about this Journal
Abstract
This study collects social data and academic research data from portal sites and RISS, and analyzes TF-IDF, N-Gram, semantic network analysis, and CONCOR analysis to analyze the social awareness and current aspects of 'AI Literacy' and 'AI Convergence Education'. Through this, we tried to understand the social awareness aspect and the current situation, and to suggest implications and directions. In the social data, the collection of 'AI Convergence Education' was more than twice that of 'AI Literacy', indicating that awareness of 'AI Literacy' was relatively low. In 'AI Literacy', the keyword 'human' in social data showed no cluster to which it belonged, indicating a lack of philosophical interest in and awareness of humanities and AI. In addition, the keyword 'Ministry of Education' showed high frequency, importance, and centrality of connection only in the social data of 'AI convergence education', confirming that 'AI convergence education' is closely related to government policy.
Keywords
Artificial Intelligence; Literacy; Convergence Education; Text Mining; Big Data;
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Times Cited By KSCI : 3  (Citation Analysis)
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