The purpose of this study is to construct a life area class project by applying artificial intelligence technology, conduct classes, and then investigate the impact on the science positive experience of elementary school students. In the elementary school science curriculum, a total of 14 classes were organized by selecting content elements corresponding to the life area, and after this class was educated for 6th graders, the heterogeneous control group was designed using a science positive experience index test tool and analyzed through a t-test. As a result, it was concluded that there are five sub-component areas of science positive experience: science learning emotion, science-related self-concept, science learning motivation, science-related career aspiration, and science-related attitude. Therefore, life-area classes using artificial intelligence technology are educationally meaningful and are effective in the positive science experience of elementary school students, so it is expected to help research artificial intelligence convergence science classes in future elementary school science classes.