Navigating the Confluence: Advancements and Trends in Artificial Intelligence-Driven Design Education Based on CiteSpace's Visual Analytics

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Abstract

Abstract. The arrival of the artificial intelligence era has had a huge impact on the design industry. Design education needs to transform to meet the new demands of the 21st century. This study aims to explore the intersection and integration of artificial intelligence and design education through scientometric analysis and to construct a visual knowledge map. Firstly, utilizing the scientific tool CiteSpace, a visual map is constructed based on data from 810 articles in the Web of Science core collection database. Furthermore, the map includes analyses of national collaborations, institutional research areas and classifications, co-occurrence of keywords, and cluster analysis. Secondly, the generated visual map is analyzed to understand the current research status, hot topics, and future trends. The research findings fill the existing literature gap in the combination of design education and artificial intelligence, providing stakeholders with timely and effective access to valuable information in this field and laying a solid foundation for future research endeavors.

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Wu, R., & Pan, Y. (2023). Navigating the Confluence: Advancements and Trends in Artificial Intelligence-Driven Design Education Based on CiteSpace’s Visual Analytics. In ACM International Conference Proceeding Series (pp. 35–39). Association for Computing Machinery. https://doi.org/10.1145/3640771.3640780

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