Multi-modal Education

This paper investigates the use of human-AI interaction in Chinese poetry education. Our work begins with semi-structured interviews with students, teachers, and AI experts to analyze the current difficulties in poetry education and highlight the application of AI in multimodal learning. Then, we design POEMaster, an AI-assisted interactive prototyping system that guides students in learning Chinese poetry. A between-subjects user study was conducted to examine the learning outcomes of POEMaster.