August 11, 2025Scientific ReportsOpen Access

Enhancing art creation through AI-based generative adversarial networks in educational auxiliary system

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YHYongjun HeHunan Police Academy SZShijie ZhangChongqing University

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Implication

AI-enhanced system improves creative output quality by 35.4% and engagement in art education, highlighting benefits of generative adversarial networks.

Key Points

The proposed system enhances creative output quality by 35.4%, showcasing its effectiveness over traditional tools.
Engagement levels increased by 42.7% among art students using the AI-enhanced system compared to standard digital tools.
Training on historical and contemporary art styles enables the GAN to support diverse artistic expressions with real-time feedback.
This approach offers a scalable framework for fostering creativity while maintaining students' artistic autonomy in educational settings.

Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/68a360e70a429f797332973b https://doi.org/10.1038/s41598-025-14164-z

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Implication

AI-enhanced system improves creative output quality by 35.4% and engagement in art education, highlighting benefits of generative adversarial networks.

Enhancing art creation through AI-based generative adversarial networks in educational auxiliary system

Discussion

Member takes

Implication

Key Points

Cite This Study

Enhancing art creation through AI-based generative adversarial networks in educational auxiliary system

Discussion

Member takes

Implication

Key Points

Cite This Study

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