Meta-analysis on effects of artificial intelligence education in K-12 South Korean classrooms


연구 분야: Verification



학회: Education and Information Technologies


초록

This study aimed to integrate the results of prior studies on the effectiveness of AI education in K-12 Korean classrooms to draw systematic and comprehensive conclusions. To achieve this goal, a review of 64 studies on AI education in Korea that were conducted from 2019 to 2023 was subjected to a meta-analysis. The total effect size of AI education and the effect size for each categorical variable were calculated. The results of the meta-analysis are as follows. The overall effect size of AI education is 0.897 (95%CI = 0.781 ~ 1.013, p < .05), which can be interpreted as a large effect. In terms of learning effect, the cognitive domain had a large effect, and the affective domain had a medium effect. In addition, the effect size by publication type, school grade, subject, class type, activity type, and other categories was presented. In the early stages of AI education policy, this meta-analysis presents evidence-based action recommendations by synthesizing the results of prior studies. This study provides implications for instructional design and supportive plans that can increase the effectiveness of AI education.


Author Profile
Dongkuk Lee

Daegeum High School Eumseong-gun Chungcheongbuk-do Republic of Korea

Dominican Republic
Author Profile
Hyuksoo Kwon

Department of Technology & Home-Economics Education Kongju National University #306 Sabum 2Gwan Gongjudaehak-ro 56 Gongju-si Chungcheongnam-do Republic of Korea

Dominican Republic

📄 논문 정보

발행 연도 2024년
인용수 0
출판 국가 Dominican Republic
사이트 Springer
좋아요 수 0

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