The Practice and Challenges of AI-assistedDesign Courses in Environmental DesignEducation

Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v7i8.4513

Qing Wang

Xinjiang Arts University,

Abstract

This study focuses on Xinjiang's regional characteristics and explores localized implementation pathways for AI-assisted design courses in environmental design education. By analyzing the integration of Xinjiang's multi-ethnic cultural elements with AI technology, we developed an intelligent teaching model tailored to arid zone ecological features. The research reveals that AI technology demonstrates significant advantages in personalized learning, interdisciplinary integration, and project-driven localization, effectively enhancing students 'digital expression capabilities of Xinjiang's regional culture. However, challenges such as outdated hardware resources, insufficient faculty training, and cultural adaptability issues constrain teaching effectiveness. Based on these findings, we propose strategies including establishing localized AI teaching resource repositories, strengthening school-enterprise collaborative education, and cultivating talents for ecological civilization construction, providing practical references for the intelligent transformation of environmental design education in Xinjiang.

Keywords

AI-assisted design, environmental design education, Xinjiang regional culture, localized practice

References

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Copyright © 2025 Qing Wang

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