Innovative Research on New Media Advertising Teaching Mode Driven by Generative AI Integration Path of AI Evaluation System and Talent Cultivation under Human-Machine Collaborative

Generative AI has presented a dual opportunity to increase the efficiency and innovation of the new media advertising education, but the depth of its integration with the goal of talent cultivation has not been fully explored. Based on the theory of "human-machine collaborative creation" and "AI dynamic assessment", this research puts forward a new framework for cultivating talents: "Technology Empowerment — Capability Development — Ethics Shaping." Through the development of a two-loop teaching model, which includes "creative idea-content production-strategy optimization," and the integration of a multidimensional AI assessment system, the experimental results show that the model not only reduces the duration of the project, but also improves the students' technical application skills, cross-disciplinary cooperation, and ethical awareness. The research suggests a deep integration of AI tool chain with talent training goals, using dynamic feedback mechanism and cooperation platform between school and enterprise.

Authors

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1145/3756423.3756563
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Innovative Research on New Media Advertising Teaching Mode Driven by Generative AI Integration Path of AI Evaluation System and Talent Cultivation under Human-Machine Collaborative

Xiao Fu
Artificial Intelligence in Healthcare and Education
article

Innovative Research on New Media Advertising Teaching Mode Driven by Generative AI Integration Path of AI Evaluation System and Talent Cultivation under Human-Machine Collaborative

Xiao Fu
article en

Abstract

Generative AI has presented a dual opportunity to increase the efficiency and innovation of the new media advertising education, but the depth of its integration with the goal of talent cultivation has not been fully explored. Based on the theory of "human-machine collaborative creation" and "AI dynamic assessment", this research puts forward a new framework for cultivating talents: "Technology Empowerment — Capability Development — Ethics Shaping." Through the development of a two-loop teaching model, which includes "creative idea-content production-strategy optimization," and the integration of a multidimensional AI assessment system, the experimental results show that the model not only reduces the duration of the project, but also improves the students' technical application skills, cross-disciplinary cooperation, and ethical awareness. The research suggests a deep integration of AI tool chain with talent training goals, using dynamic feedback mechanism and cooperation platform between school and enterprise.

Openalex Percentile: Top 82%
Artificial Intelligence in Healthcare and Education
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Innovative Research on New Media Advertising Teaching Mode Driven by Generative AI Integration Path of AI Evaluation System and Talent Cultivation under Human-Machine Collaborative — Xiao Fu · (2025) | TGRS Research Map | TGRS