创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (8): 5-8.

• 理论研究 • 上一篇    下一篇

AIGC赋能下数字视频创作课程的双螺旋迭代教学模式构建与实践

刘春阳   

  1. 西安财经大学行知学院 人文艺术学院,陕西西安 710000
  • 出版日期:2026-04-25 发布日期:2026-06-30
  • 作者简介:刘春阳(1983—),女,四川内江人,硕士研究生,副教授,研究方向:数字媒体艺术与动画艺术。
  • 基金资助:
    2024年陕西省“十四五”教育科学规划项目“AIGC技术赋能网络与新媒体专业教学创新研究”(SGH24Y2382); 2024年陕西省艺术科学规划项目“AIGC视域下陕西非遗文化动画品牌设计的创新与传播研究”(SYG2024009)

Construction and Practice of Dual-Helix Iterative Teaching Model for Digital Video Production Courses Empowered by AIGC

LIU Chunyang   

  1. School of Humanities and Arts, Xingzhi College of Xi'an University of Finance and Economics, Xi'an Shaanxi, 710000, China
  • Online:2026-04-25 Published:2026-06-30

摘要: AIGC(人工智能生成内容)技术对数字创意教育构成系统性挑战,突出表现为学生创作中主体意识弱化和创意表达呈同质化等核心问题。该文在项目化学习的基础上,构建了一种强调价值链强制干预的双螺旋迭代教学模式(D&I Mode)。该模式以效率链与价值链的交叉迭代为核心,旨在将创作重心战略性转向创意策划、审美把控和情感注入等高阶能力培养。通过在数字视频创作课程中的实践检验,D&I模式显著提升了学生的创意独特性和艺术表达力,提升了人机协同效率。该模式为应对AIGC背景下的创意同质化与主体性弱化问题,提供了一种可操作的具体教学模式。

关键词: AIGC, 项目化教学, 双螺旋迭代, 课程改革, 人机协同, 效率链与价值链

Abstract: AIGC (Artificial Intelligence Generated Content) technology poses systemic challenges to digital creative education, primarily manifested as the weakening of students'subjective awareness and the homogenization of creative expression in their work. Based on project-based learning, this study constructs a Dual-Helix Iterative (D&I Mode) teaching model that emphasizes mandatory interventions in the value chain. The core of this model lies in the cross-iteration between the efficiency chain and the value chain, aiming to strategically shift the focus of creation toward cultivating higher-order competencies such as creative planning, aesthetic control, and emotional infusion. Through practical application in the digital video production course, the D&I Mode has significantly enhanced students'creative uniqueness and artistic expressiveness, while also improving human-AI collaboration efficiency. This model provides an operable and concrete teaching approach to address the issues of creative homogenization and the weakening of subjectivity in the context of AIGC.

Key words: AIGC, Project-based learning, Double-helix iteration, Curriculum reform, Human-AI collaboration, Efficiency chain and value chain

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