Scholarlink

<p>With the rapid advancement of emerging technologies, design education is undergoing a model transformation. This study employs a mixed-methods approach that combines semantic textual analysis with semi-structured interviews, which aims to examine the development strategies of 71 design education institutions worldwide to systematically analyze the pathways through which technologies such as Artificial Intelligence (AI), Virtual and Augmented Reality (VR/AR), Big Data, and Robotics are integrated into design education. Four major models of intervention are identified: <i>lab-driven innovation</i>, <i>industry incubation</i>, <i>interdisciplinary fusion</i>, and <i>curriculum integration</i>. The research reveals that emerging technologies primarily intervene in areas such as instructional support, pedagogy, and curriculum structure, while remaining underrepresented in strategic dimensions such as regional distribution of DEIs, degree types, and stakeholder types. It also highlights key challenges including resource disparity, lack of accreditation frameworks, overreliance on technology, and ethical risks. In response, it proposes strategic solutions such as regional resource sharing, modular accreditation systems, human-AI collaborative teaching, industry-driven curriculum optimization, and ethical governance of technology.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Research on the emerging technological intervention models in design education from a strategic perspective of global design education institutions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月21日

查看全文
  • Fan Chen,
  • Zhongjie Lin,
  • Xiang Li

摘要

With the rapid advancement of emerging technologies, design education is undergoing a model transformation. This study employs a mixed-methods approach that combines semantic textual analysis with semi-structured interviews, which aims to examine the development strategies of 71 design education institutions worldwide to systematically analyze the pathways through which technologies such as Artificial Intelligence (AI), Virtual and Augmented Reality (VR/AR), Big Data, and Robotics are integrated into design education. Four major models of intervention are identified: lab-driven innovation, industry incubation, interdisciplinary fusion, and curriculum integration. The research reveals that emerging technologies primarily intervene in areas such as instructional support, pedagogy, and curriculum structure, while remaining underrepresented in strategic dimensions such as regional distribution of DEIs, degree types, and stakeholder types. It also highlights key challenges including resource disparity, lack of accreditation frameworks, overreliance on technology, and ethical risks. In response, it proposes strategic solutions such as regional resource sharing, modular accreditation systems, human-AI collaborative teaching, industry-driven curriculum optimization, and ethical governance of technology.