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Drawing on the generative advantages of artificial intelligence in natural language interaction, cross-media expression, and original content generation, the topic “Looking Ahead to 2035—Smart Rural Areas/AI Generative Design” encourages students to envision “Smart Ecological Landscapes.” Students will engage in the design creation process utilizing generative AI tools, while concurrently being instructed on the relevant theories and applications of these tools. Through a four-stage course structure, the technical pathway will be elucidated, facilitating a comprehensive teaching process that spans from research to image iteration and optimization. The objective is to investigate the integration of generative artificial intelligence within the curriculum, thereby fostering students’ interdisciplinary thinking and cross-media expression capabilities.

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Interaction, Media, and Updates: Exploring Teaching Practices in Generative Artificial Intelligence Landscape Design

  • 会议论文

  • 发表日期：

    2026年

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  • Chao Zhou,
  • Xin Deng,
  • Jingshu Gao,
  • Yixian Xiao,
  • Jiaxing Liu

摘要

Drawing on the generative advantages of artificial intelligence in natural language interaction, cross-media expression, and original content generation, the topic “Looking Ahead to 2035—Smart Rural Areas/AI Generative Design” encourages students to envision “Smart Ecological Landscapes.” Students will engage in the design creation process utilizing generative AI tools, while concurrently being instructed on the relevant theories and applications of these tools. Through a four-stage course structure, the technical pathway will be elucidated, facilitating a comprehensive teaching process that spans from research to image iteration and optimization. The objective is to investigate the integration of generative artificial intelligence within the curriculum, thereby fostering students’ interdisciplinary thinking and cross-media expression capabilities.