The Impact of Generative AI on Chinese Poetry Instruction
Year: 2025
Type: article
Study design: Clinical Trial
Abstract: This study examines the potential of generative artificial intelligence (AI) to enhance Chinese poetry instruction by investigating its impact on students' learning interest, collaborative perception, and writing abilities. Through AI's text-to-image and image-to-poetry translation capabilities, the research explores how AI-generated visuals can deepen students' understanding of poetic imagery and foster creative expression in poetry writing. Using a mixed-methods approach, the study analyzes pre-test, mid-test, and post-test assessments, student surveys, and student-generated poetry to evaluate the effectiveness of this innovative pedagogical approach. The findings contribute to the growing field of educational technology in humanities education, offering insights into how AI can support multimodal learning, enhance students' linguistic creativity, and enrich their poetic sensibilities. By integrating AI technology with traditional literary instruction, this study provides a foundation for further research on the role of generative AI in language and arts education.
Authors: Sunyar Bishuang Wang, Sandy I Ching Wang, Eric Zhi Feng Liu
Institution: National Central University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4410162143