Prof. Bin Jiang, The Hong Kong University of Science and Technology (Guangzhou), China

Brief: Dr. Bin Jiang is Professor at The Hong Kong University of Science and Technology (Guangzhou) [HKUST(GZ)], with dual appointments in Urban Governance and Design, and Computational Media and Arts. He is the founder and director of LivableCityLAB and serves as Master of Wholeness College (formerly Residential College 1). He also chairs the International Cartographic Association Commission on Digital Transformation and sits on editorial boards including Computational Urban Science. His research bridges urban informatics, complexity science, and architectural and urban design, advancing living structure theory as a foundation for more sustainable and human-centered cities. He has pioneered quantitative metrics such as the L-score (Living Structure Score) and B-score (Beauty Score), operationalized through the Beautimeter, to scientifically evaluate structural beauty and aliveness in architecture and urban space. These innovations highlight the value of crossdisciplinary approaches that connect spatial analysis, digital technology, and aesthetic theory. Dr. Jiang has held academic roles across Europe and Asia and advises organizations such as Beijing City Lab and the International Society of Biourbanism. His work continues to integrate theory, technology, and design practice to advance the creation of adaptive, livable cities.

Title: Living Structure + AI: Rethinking Whole-Person Education in the Age of Artificial Intelligence

Abstract: Artificial intelligence is rapidly transforming education, but much of the current discussion remains focused on efficiency, content generation, personalized learning, and automation. This keynote argues that the more fundamental question is not simply how AI can assist learning, but how it can contribute to whole-person education. Drawing on Christopher Alexander's theory of living structure and recent educational experiments with Living Structure + AI, the presentation proposes a new framework in which learning is understood as the cultivation of wholeness: the integration of analytical reasoning, perception, emotion, creativity, embodied experience, and the capacity to make meaningful judgments. Within this framework, AI is not treated primarily as an autonomous generator of answers, but as a cognitive amplifier and design partner that can help learners perceive structure, compare alternatives, reflect on quality, and engage more deeply with real-world environments. The keynote will illustrate how Living Structure + AI can support liberal arts education, experiential learning, design education, and human-centered learning environments. It will also discuss the broader implications for educational practice in the age of artificial intelligence: shifting from knowledge transmission toward the development of judgment, creativity, connectedness, and human wholeness. The central proposition is that the future of education should not be about making learners more machine-like, but about using AI to help human beings become more whole.

Prof. Yuxia Du, Guangzhou University, China

Brief: Prof. Yuxia Du has been working in teaching and research at the School of Education, Guangzhou University since June 2007. Additionally, the author served as a visiting scholar at The Ohio State University, USA, from 2014 to 2015. 

The research mainly focuses on teacher education informatization, artificial intelligence in education, thinking instruction, digital textbooks, smart education, and STEAM education. She has presided over more than 10 provincial and above key research projects, including the General Project of National Social Science Fund of China, Humanities and Social Sciences Project of the Ministry of Education, and key provincial laboratory research projects. Prof. Du has published over 50 academic papers and authored 5 academic monographs, focusing on GenAI-enabled teaching research and digital intelligent education research methods.