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Article
Affiliation(s)

Henan Vocational University of Science and Technology, Zhoukou, China; Zhoukou Polytechnic Vocational College, Zhoukou, China

ABSTRACT

Dynamic storyboard design serves as the pivotal link between film and television scripts and their visual realisation, occupying a central position in film and television education. Traditional teaching methods face challenges including inefficient script-to-storyboard conversion, suboptimal visual accuracy, and insufficient personalised guidance. The deep integration of AI (artificial intelligence) technology into film and television production has unlocked new possibilities for transforming dynamic storyboard design instruction. Guided by the principle of leveraging AI technology to empower film and television education, this paper focuses on the conversion approach from “textual script to visual presentation”. It explores a three-dimensional intelligent teaching pathway comprising “AI intelligent analysis—human-machine collaborative creation—AI interactive optimisation”. Furthermore, it proposes safeguarding strategies across three dimensions: enhancing teachers’ comprehensive capabilities, developing teaching resources, and optimising evaluation systems. This study aims to provide theoretical reference for the intelligent transformation of core skill teaching in film and television programmes.

KEYWORDS

AI technology, dynamic storyboard design, film and television education, intelligent pathways, script conversion

Cite this paper

ZHANG Zheyuan, ZHONG Xinxin. (2025). From Script to Visualisation: Exploring and Implementing AI-Empowered Dynamic Storyboard Design in Education. US-China Education Review A, December 2025, Vol. 15, No. 12, 874-878.

References

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Yang, Y. H. (2024). Integrated development and application of new textbook formats for “Animation Storyboard Design” under quality enhancement and excellence cultivation initiatives. Journal of Elegance and Classic, 25(24), 148-151.

Yi, K. Y., & Han, X. B. (2025). From blended learning to human-AI collaborative teaching: New pedagogical forms under generative AI transformation. Chinese Journal of Distance Education, 45(4), 85-98.

Zhang, B., & Dong, R. H. (2022). Natural language processing technology empowering educational intelligence development: Perspectives from artificial intelligence scientists. Journal of East China Normal University (Educational Sciences), 40(9), 19-31.

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