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Research on the Application Model of Artificial Intelligence in Media-Related Courses at Private Universities

Author(s)

Jingjing Cao*, Haoyu Zhou

Affiliation(s)

School of Culture and Media, Xi’an Eurasia University, Xi’an, Shaanxi, China *Corresponding Author

Abstract

The rapid development of artificial intelligence technology is profoundly reshaping the media industry ecosystem and posing new challenges and requirements for talent cultivation in university media programs. As an important base for training application-oriented media professionals, private universities demonstrate unique practical vitality in exploring the integration of AI with media-related courses, while also facing multiple real-world constraints such as resources, faculty capacity, and institutional mechanisms. This study reviews the practical achievements of domestic private universities in applying AI to media-related courses, revealing prominent issues including superficial integration of technology and curriculum, weak AI literacy among teachers, insufficient adaptability of teaching resources, weakened student innovation capabilities, and incomplete long-term support and evaluation systems. On this basis, the study constructs a five-dimensional framework for AI application models: "conceptual guidance, resource foundation, capability building, practice feedback, and mechanism guarantee". The aim is to provide an operational theoretical reference and practical pathway for the systematic reform of media-related courses in private universities, thereby offering strong support for cultivating application-oriented talents that meet the demands of the intelligent media industry.

Keywords

Artificial Intelligence; Private Universities; Media-Related Courses; Application Model; Teaching Reform

References

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