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Integrating Generative Artificial Intelligence into Vocational Digital Media Education: A Framework for Enhancing Creativity

Tingting Han, Na Li

Abstract


With the breakthrough development of generative artificial intelligence technology, vocational digital media education is facing un
precedented transformation opportunities and challenges. This paper systematically explores the application value, implementation pathways,
and potential risks of generative artificial intelligence in vocational digital media education, constructing a "technology empowerment-creative
guidance-ethical governance" trinity teaching framework. The framework aims to achieve the dual goals of "proficient use of AI tools" and
"continuous development of human creativity, " providing theoretical foundations and practical guidance for curriculum reform in digital me
dia programs at vocational institutions.

Keywords


Generative Artificial Intelligence; Vocational Digital Media Education; Creativity Cultivation; Teaching Framework; Human Machine Collaboration

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References


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[2] Hutchins, E. (1995). Cognition in the wild. MIT Press.

[3] Selwyn,N. (2019).What is digital sociology? Polity Press.

[4] Zhu, Z. T., & Hu, J. (2022). Development trends and key characteristics of smart education. Open Education Research, 28(1), 13-25.

[5] Huang, R. H., et al. (2023). Characteristics, pathways, and challenges of AI-enabled new educational ecosystems. Modern Distance

Education Research, 35(4), 3-14.

[6] UNESCO. (2023). Capacity building in the age of artificial intelligence. Educational Science Publishing House.




DOI: http://dx.doi.org/10.70711/eer.v3i4.9225

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