A Digital Intelligence Enabled Curriculum Competition Practice Mechanism for Film and Television Art Education in Guangdong Universities

Jing Zhang

doi:10.62177/jetp.v3i2.1502

Authors

Jing Zhang South China Agricultural University

DOI:

https://doi.org/10.62177/jetp.v3i2.1502

Keywords:

Digital Intelligence, Film and Television Art, Curriculum-Competition-Practice Integration, AI-Assisted Design, Virtual Scene Construction, Outcome-Based Education, Guangdong Universities

Abstract

The rapid development of artificial intelligence, virtual production, extended reality, and other digital-intelligence technologies is transforming the production logic of the film and television industry. This transformation creates new requirements for film and television art education, especially for foundational courses that must cultivate visual storytelling, spatial modeling, digital production literacy, and practical execution. Taking Fundamentals of Film and Television Art at Zhujiang College, South China Agricultural University as a case, this study proposes a curriculum-competition-practice integration mechanism for Guangdong universities in the era of digital intelligence. The mechanism restructures conventional drawing, color, and design-drafting instruction into outcome-oriented modules, embeds AI-assisted design and virtual scene construction into project-based classroom tasks, transforms competition topics into course assessments, and introduces real enterprise and cultural-tourism projects from the Guangdong-Hong Kong-Macao Greater Bay Area into teaching practice. Based on literature analysis, curriculum diagnosis, case analysis, student work review, and reflective teaching records, the study shows that the proposed mechanism can address three persistent problems in traditional film and television art courses: the separation between technique and creativity, the gap between classroom learning and industry workflow, and the weakness of process-based evaluation. The paper contributes a replicable educational framework for integrating digital-intelligence technology, competition-driven learning, and situated practice in applied art education.

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