Generative Artificial Intelligence in Elementary School Science Teaching and Learning

With the State attaching great importance to the cultivation of innovative talents, elementary school science education, as a key link in the cultivation of future innovative talents, has received unprecedented attention. However, elementary school science teaching still faces challenges in practice, such as insufficient teaching resources, single teaching method and difficulty in stimulating students' interest. Generative artificial intelligence, with its data generation, learning and innovation capabilities, has shown great potential in the field of education, providing new ideas to address these challenges. In this paper, we first sort out the specific challenges facing elementary school science teaching, and then explore its potential applications in elementary school science teaching. Finally, we analyze the feasibility and specific strategies for its integration into the elementary science classroom, aiming to provide new perspectives and strategies for the progress of elementary science education.