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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Aesthetic-driven Virtual Simulation Scene Design: Strategies to Improve Visual Experience and Learning Interest

Authors: Li Xinyi1*, Professor Dr. D. Доктор, дэд проф. Д.Хэрлэн2;

Aesthetic-driven Virtual Simulation Scene Design: Strategies to Improve Visual Experience and Learning Interest

Abstract

Virtual simulation-based online courses have been widely adopted across industries, particularly in high-risk, highly destructive, and practice-intensive fields such as engineering, medicine, and military applications. These courses provide immersive experiences that simulate real-world scenarios. However, previous virtual simulation course design primarily focused on authenticity and practicality, often neglecting aesthetic considerations. This resulted in monotonous, uninspiring environments that lacked visual appeal. The conflict between virtual art creation and traditional aesthetic experiences further diminished students' genuine aesthetic engagement, weakened their critical thinking skills, and hindered knowledge retention. This paper explores the application of aesthetics in digital media art virtual simulation course design through examining the evolution from aesthetic experience to aesthetic cognition. By enhancing visual appeal in course environments, it aims to boost student interest, cultivate aesthetic appreciation, and strengthen critical reflection abilities.

Keywords

aesthetics, digital media art, virtual simulation, artificial intelligence, curriculum reform

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average