AIGC New Media Copywriting: Development Trajectories and Industry-Education Integration Pathways
DOI:
https://doi.org/10.54691/8vq1ye49Keywords:
AIGC; new media copywriting; industry-education integration; human-AI collaboration; curriculum reform; digital media.Abstract
The rapidly developing artificial intelligence-generated content (AIGC) technologies have profoundly reshaped the new media copywriter production scene, bringing remarkable efficiency and posing challenges for traditional creative education and industry-university collaboration models. This paper addresses three interrelated aspects: the technological advancement of AIGC within the domain of new media copywriting; the emergent tensions between algorithmic content generation and human creative abilities; and structural strategies to foster industry-academia cooperation for preparing practitioners for the AIGC era. This paper puts forward a four-pillar framework for the integration of industry and education by comparatively analysing current AIGC applications in Chinese and global media markets, empirically examining human-AI collaboration in advertising copy production, and reviewing university-enterprise cooperative education models in digital media fields, so as to align curriculum design, practical training, assessment reform, and ethical literacy with the competency requirements of AIGC-driven industries.
Downloads
References
Liu, Y., Han, X., Ma, M., & Zhang, J. (2023). AIGC in China: Current developments and future outlook. arXiv Preprint arXiv:2308.08451. https://doi.org/10.48550/arXiv.2308.08451
Zhao, X., Wang, L., & Sun, H. (2023). The impact of AIGC on content production of Chinese media platforms. Educational Research and Reviews, 6(4), 1-10.
Bao, C., Li, X., & Zheng, R. (2024). Chat-GPT4 can enhance marketing creativity, but human ego can hamper its potential. SSRN Working Paper 5135496. https:// doi.org/ 10.2139 /ssrn. 5135496
Meindl, R., Guha, S., & Garg, V. (2024). Large language model in creative work: The role of collaboration modality. Management Science. https://doi.org/10.1287/mnsc.2023.03014
Chakrabarty, P., Laban, P., & Wu, C. (2025). AI as humanity's Salieri: Quantifying linguistic creativity of large language models. OpenReview. https://doi.org/10.48550/arXiv.2405.02741
Jalalinejad, R. A. (2024). The role of generative AI in advertising (Master's thesis). University of Padova.
Rahmatulloh, I., & Yusupova, M. (2025). Enhancing critical thinking and journalism skills through artificial intelligence literacy: A case study. University of Limerick Research Repository.
Yin, C. (2023). Research on the collaborative education model for digital media technology talents in university-enterprise cooperation. Francis Academic Press Proceedings. https:// doi.org/10.25236/ETMHS.2023.032
United Nations Educational, Scientific and Cultural Organization. (2023). Harnessing the era of artificial intelligence in higher education: A primer for higher education stakeholders. UNESCO Digital Library. https://unesdoc.unesco.org/ark:/48223/pf0000386670
Chen, Z., Li, W., & Fang, X. (2024). School-enterprise cooperation and AI interdisciplinary curriculum: Improving students' application and innovation capabilities. Scholar Publishing Group Proceedings, 1-8.
Nguyen, T., & Osei, A. (2024). AI in technical and vocational education: A comprehensive mini-review. HRMARS Journal of Education, 1-18.
Lavoie, A. (2024). The rise of artificial intelligence and the importance of media literacy education (Communication Honors thesis). Trinity University Digital Commons.
Poisson, M. (2025, June). Using AI and digital tools to modernize TVET in a shifting global job market. IIEP-UNESCO. https://www.iiep.unesco.org/en/articles/sponsored/2025/6/using-ai-and-digital-tools-modernize-tvet-shifting-global-job-market
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Frontiers in Humanities and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






