Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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A Study on How to Operate the Curriculum·Comparative Division for Animation Majors in the Era of Image-generating AI: Focusing on the AI Technology Convergence Process

이미지생성AI시대 애니메이션학과의 교과·비교과 운영 안 연구: AI기술융합 과정을 중심으로

  • Sung Won Park (Department of Animation, Hoseo University) ;
  • You Jin Gong (animation at Hoseo University)
  • 박성원 ;
  • 공유진
  • Received : 2024.07.08
  • Accepted : 2024.08.21
  • Published : 2024.08.30
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Abstract

Focusing on the rapid progress of image generation AI, this study examines the changes in talent required according to changes in the production process of the content industry, and proposes an educational management plan for the subject and comparative department of the university's animation major. First, through environmental analysis, the trend of the animation content industry is analyzed in three stages, and the necessity of producing AI-adapted content talent is derived by re-establishing the talent image of the university's animation major and introducing it into rapid education. Next, we present a case designed by applying teaching methods to improve technology convergence capabilities and project-oriented capabilities by presenting subject and non-curricular cases operated in the animation department of the researcher's university. Through this, we propose the necessity of education to cultivate animation content talent who can play technical and administrative roles by utilizing various AI systems in the future. The goal of this study is to establish a cornerstone study by presenting application cases and having the status of a university as a talent supplier that can lead the content industry beyond the era of AI content production that breaks the boundaries of genres between contents. In conclusion, it is intended to propose the application of education to create value through technology convergence capabilities and project-oriented capabilities to cultivate AI-adapted content talents.

Keywords

Acknowledgement

This research was supported by the Academic Research Fund of Hoseo University in 2023 (2023-0478-01).

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