AI education aims to nurture convergence talents equipped with various knowledge and AI capabilities. However, the educational programs developed so far are designed for less than 10 sessions. This is insufficient time for students to understand artificial intelligence algorithms, utilize the learned principles of artificial intelligence, and expand by converging with various knowledge. Since the developmental characteristics of students in the lower grades of elementary school are different, it is difficult to apply them as they are. Therefore, it is necessary to study the following AI education teaching and learning methods suitable for lower grade students. In this study, we develop a teaching system design model for artificial intelligence-based subject convergence education for elementary school students in the lower grades, and based on this, design and apply an artificial intelligence-based subject convergence education program. Experiments were conducted with 47 second-year elementary school students, and students’ responses were better in the AI-based convergence education program than in general subject classes in terms of interest, understanding, and expectations for classes.