중학교 SW영재를 위한 인공지능 ESG 융합 프로젝트 기반 수업 설계 및 적용

In this study, an artificial intelligence ESG convergence project-based class for middle school SW gifted students was designed and applied to analyze its effects. The artificial intelligence ESG convergence program designed for this was applied to gifted middle school SW students for 8 sessions for 2 weeks, and the changes and satisfaction of 50 gifted stu- dents were analyzed through pre- and post-testing. The research results are as follows. First, it was found that the con- vergent thinking ability was statistically significantly improved as a result of the pre and post-test. Second, it was found that the cooperative problem-solving ability was statistically significantly improved in the pre and post-test results. In addition, it was confirmed that satisfaction with the class was high. These changes can be interpreted as a change in convergent thinking ability from the experience of empathizing with ESG-related problems that can be encountered in real life, searching directly, and solving them with an artificial intelligence machine learning platform. In addition, it can be interpreted that cooperative problem-solving skills have improved in the process of actively communicating and co- operating with team members for problem-solving, a common goal. ESG-related projects are topics that consider over- all flow, interaction, and impact when solving a problem, so students can develop the ability to synthesize problems in a broader perspective.