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http://dx.doi.org/10.9708/jksci.2022.27.03.217

Development of the Contents of AI Convergence Education Method Subjects and Verification of Teaching Efficacy Effectiveness for Elementary and Secondary Teachers  

Kim, Jeong-Rang (Dept. of Computer Education, Gwangju National University of Education)
Publication Information
Journal of the Korea Society of Computer and Information / v.27, no.3, 2022 , pp. 217-223 More about this Journal
Abstract
In this paper, the needs and environment of the 'AI Convergence Education Method' were analyzed for elementary and secondary teachers, and based on this, teaching efficacy of informatics education was verified. For the research, elementary and secondary teachers who take the subject were selected, and based on the results of analyzing the general characteristics, pre-knowledge level, and needs of the subject, curriculum for 15 weeks was developed. As a result of verifying the teaching efficacy effectiveness of the developed 'AI Convergence Education Method' subject for 15 weeks, the effectiveness of the information education teaching efficacy was verified. Among the factors, there were statistically significant differences in information teaching values and information teaching strategies. In the future, it is necessary to conduct follow-up research to secure teachers' professionalism, such as linking with schools and convergence with other subjects. Various teaching and learning materials and teaching and learning methods such as educational contents and materials, reference literature, and artificial intelligence education platforms need to be prepared.
Keywords
AI education; AI convergence education; Teaching and learning method; Needs Analysis; Teaching Efficacy;
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Times Cited By KSCI : 2  (Citation Analysis)
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