Title: Constructing a talent cultivation model for audiovisual communication in broadcasting and hosting education integrated with AI programs in the era of artificial intelligence
Authors: Song Jiang; Yang Du
Addresses: College of Humanities, Xinyu University, Xinyu, 338025, China ' Faculty of Broadcasting and Hosting Arts, Communication University of China Nanjing, Nanjing, 211172, China
Abstract: In the context of media convergence and the profound penetration of AI technology, traditional broadcasting and hosting education faces three critical challenges: a shallow professional foundation, disjointed practical pathways, and superficial value recognition. Drawing upon the innovative practice experiences of the Television Program Broadcasting and Hosting course at Xinyu University, this paper proposes a talent cultivation model centred around the core philosophy of 'self-pleasure and fulfilling others'. This approach leverages AI programs to establish a 'three-dimensional linkage' training model. This model integrates the 'PIRIR five-step cyclical training method', the 'Joyful Audio' intelligent platform, and a four-layer, five-dimensional evaluation system, thereby creating an integrated loop of 'learning, practicing, creating, and broadcasting'. Empirical data reveal that students have garnered 18 provincial-level and above competition awards in broadcasting and hosting, and the total viewership for original video programs has exceeded 300 million. Furthermore, volunteer service has accumulated a total of 12,000 hours, while single-event sales during intangible cultural heritage live broadcasts have surpassed ten million yuan, thereby substantiating the effectiveness of this model. This study offers a practical paradigm for the cultivation of audiovisual communication talents in the new era, deeply intertwining technology and education.
Keywords: AI-assisted teaching; broadcasting and hosting arts; audiovisual communication; talent cultivation model.
DOI: 10.1504/IJICT.2026.152860
International Journal of Information and Communication Technology, 2026 Vol.27 No.32, pp.34 - 54
Received: 11 Nov 2025
Accepted: 22 Dec 2025
Published online: 13 Apr 2026 *


