Study on the Transformation of Teacher Roles in Broadcasting and Hosting Education under the Influence of AIGC Technology

Authors

  • Jiameng Liu

DOI:

https://doi.org/10.54097/660c1120

Keywords:

AIGC, Teacher Role Transformation, Broadcasting and Hosting Education, AI-assisted Teaching, Human-AI Collaboration, Media Pedagogy

Abstract

With the rapid advancement of Artificial Intelligence Generated Content (AIGC), the landscape of broadcasting and hosting education is undergoing a significant transformation. This study explores how the integration of AIGC tools—such as AI-generated scripts, voice synthesis, and intelligent feedback systems—has impacted the traditional roles of educators in this specialized field. Through qualitative interviews and case analysis, the research reveals that teachers are shifting from being primary content providers and vocal models to becoming facilitators, content curators, and human-AI collaborators. While AIGC enhances instructional efficiency and provides diversified resources, it also raises challenges related to professional identity, emotional engagement, and pedagogical agency. The findings suggest that a hybrid teaching model—where human expertise and AI capabilities are balanced—can better serve the evolving demands of media education. This paper offers strategic recommendations for supporting educators through targeted training and systemic adaptation in the AIGC era.

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References

[1] Gong, Y., & Zhang, H. (2023). The application of artificial intelligence in media education: Opportunities and challenges. Journal of Media and Communication Research, 17(1), 55-68.

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Published

13-05-2025

Issue

Section

Articles