코딩 교육프로그램 효과에 대한 메타분석

Abstract

The purpose of this study is to encyclopedically analyze and generalize the effects of coding education programs. The study subjects are 36 academic journals and dissertations published until December 2022. The research method used is meta-analysis to determine the effect size. The results are as follows: first, the overall effect size of coding education programs is 0.570, indicating a moderate effect size. Second, there are significant differences in the results of coding education programs, with creativity showing the largest effect size, followed by achievement and problem-solving, computational thinking, and motivation and attitude. The use of robots or devices has a larger effect size compared to not using them. Third, there are significant differences in the types of coding used in coding education programs, with unplugged coding having the largest effect size at 0.865, followed by text coding and block coding. This study is significant as it provides comprehensive research trends and useful information for designing coding education programs and offers ideas for future studies.