人工智能赋能下的风景园林专题研讨课教学研究 ——以东南大学“城市绿地系统规划”教改为例
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Research on the Teaching of Landscape Architecture Seminar Course Empowered by Artificial Intelligence: Taking the Teaching Reform of “Urban Green Space System Planning” of Southeast University as an Example
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    摘要:

    当前在建筑类专业教学中推动人工智能技术的深度融合已是大势所趋。依托人工智能教学支持系统训练并搭建了针对“城市绿地系统规划”专题研讨课的AI教学核心平台和拓展平台,按照课前准备、课堂实施、课后反馈三个环节针对教师端和学生端的教学需求设置多个支持场景,并以开放式议题准备、讨论及知识点辨析为线索构建起虚实融合、“教师—平台—学生”三元交互的智能化教学系统。反馈结果显示,AI教学平台的置入提高教师的备课效率、丰富教学场景,学生则通过利用平台的答疑和资源推荐功能,增强对课程知识点的掌握程度。本成果为建筑类专业的智慧教育转型提供了理论框架与技术路径,其构建的教学模式,为解决设计类专业共性教学难题提供新的思路。

    Abstract:

    It is the mainstream to promote the deep integration of artificial intelligence (AI) technology in the teaching of architectural disciplines. Based on the artificial intelligence teaching support system, we have developed and built an AI teaching core platform and an expansion platform for the special seminar on “Urban Green Space System Planning”. Multiple support scenarios have been established to meet the teaching needs of both teachers and students in three stages: pre-class preparation, classroom implementation, and post-class feedback. With open-topic preparation, discussion, and knowledge point analysis as clues, we have constructed an intelligent teaching system that integrates reality and virtuality, featuring two wings of “teacher - platform - student” integration. The feedback results show that the introduction of the AI ??teaching platform has improved teachers’ lesson preparation efficiency and enriched teaching scenarios. At the same time, students have enhanced their mastery of course knowledge points by utilizing the platform’s question-answering and resource recommendation functions. This achievement provides a theoretical framework and technical path for transforming smart education in architectural majors, and the teaching model it constructs offers new ideas for addressing common teaching problems in design majors.

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  • 在线发布日期: 2025-10-11
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