AI-generated Drawing Facilitates Children’s Poem Learning

In recent years, AI image generation tools have been widely applied across various fields, offering new possibilities for rapid and high-quality image creation in educational contexts. Whether AI-generated drawing can serve as a potential learning strategy remains an open question. This study compared the effects of AI-generated drawing, student-generated drawing, and writing on children’s poem learning. A total of 130 fifth-grade students were recruited and assigned to three strategies: repeatedly copying the poem (writing), creating a drawing depicting the poem’s meaning (student-generated drawing), or using AI to generate such a drawing (AI-generated drawing). Results showed that, compared to writing, AI-generated drawing significantly improved children’s immediate and delayed retention accuracy, transfer performance, motivation, and metacognition. Furthermore, AI-generated drawing outperformed student-generated drawing in immediate and delayed retention accuracy and metacognition. This study demonstrates the potential application value of AI-generated drawing in children’s poetry instruction.