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Teacher competencies for designing artificial intelligence-integrated education
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인공지능융합교육 설계를 위한 교사 역량

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Type
Academic journal
Author
Heeok Heo (국립순천대학교) Shinchun Kang (국립공주대학교)
Journal
The Korean Association Of Computer Education The Journal of Korean Association of Computer Education Vol.26 No.2 KCI Accredited Journals
Published
2023.3
Pages
89 - 100 (12page)

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Teacher competencies for designing artificial intelligence-integrated education
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This study aims to identify teachers’ competencies in designing artificial intelligence(AI)-integrated education. As society demands a change in the educational system to adapt current movements toward AI-centered digital transformation, teachers as a key driver for the educational transformation need to enhance their competencies in educational practices. In this study, artificial intelligence-integrated education includes AI literacy and AI-assisted education. In order to identify teachers’ competencies, this study conducted a Delphi study. First of all, we derived a set of teacher competencies including two domains, eight competencies, and 65 behavioral indicators based on the analysis of existing studies, and then developed a questionnaire of the 1st Delphi round. 30 experts in computer science and education fields were participated in the three rounds of Delphi study. As a result, two domains, eight competencies, and 52 behavioral indicators were identified. The domain of AI literacy includes three core competencies: understanding AI, practicing AI ethics, and solving problems based on computing thinking skills, and 15 behavioral indicators in total. The AI utilization/convergence domain includes five core competencies: AI class design, AI education data development, AI class execution, AI education management, and AI educational evaluation, and a total of 39 behavioral indicators. The teacher competency set can be used to investigate teachers’ educational needs for AI convergence education, and to guide teachers designing AI convergence education. A few further studies were suggested as follows: development of an instrument for evaluating teachers’ competencies for AI convergence education, and a follow-up study to validate the instrument.

Contents

요약
ABSTRACT
1. 서론
2. 이론적 배경
3. 연구 방법
4. 연구 결과
5. 결론
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