Special Session 6

Generative AI-Empowered Visual Instructional Design: From Multimodal Resource Generation to Educational Agent Collaboration

Description
In current K-12 and higher education practices, complex scientific mechanisms and abstract humanistic concepts often present significant cognitive hurdles for students. The proliferation of Generative Artificial Intelligence (particularly cross-modal image generation and Large Language Models) provides revolutionary tools for educational visualization. However, current practices largely remain at a superficial "tool application" level, lacking systematic instructional-design guidance, dedicated development of educational AI agents, and deep theoretical exploration of human-AI collaborative cognitive mechanisms. This Special Session aims to bridge this research gap by establishing an academic platform connecting theoretical researchers and frontline educators. The session will explore four dimensions: application, technology, theory, and ethics. It will evaluate the effectiveness of AIGC in generating multimodal resources (e.g., reconstructing literary imagery, designing STEM scientific illustrations); explore interdisciplinary and cross-cultural innovative teaching models; analyze the reshaping of teachers' roles within the "Generate-Evaluate-Refine" workflow using TPACK and Meta-Task Awareness (MTA) frameworks; and proactively examine ethical challenges such as copyright definition, scientific hallucinations, and cultural bias in developing visual digital textbooks. Through this session, we aspire to propel educational technology from mere "AI assistance" toward genuine "Human-AI Collaborative Smart Education."

Session organizers
Prof. Hung-Cheng Chen, Huanggang Normal University, China
Dr. Lung Hsiang Wong, Nanyang Technological University, Singapore

The topics of interest include, but are not limited to:
▪ Digital Empowerment in Humanities Education: Applications of AI in Classical Poetry, Educational Picture Books, and the Visualization of Classic Literature
▪ Bridging the Abstraction Gap: Scientific Illustration and Infographic Design in STEM Education via Generative AI
▪ Education-Oriented Image Design: AI Agent Development and Human-AI Collaborative Workflows
▪ Cognitive Mechanisms and Theoretical Construction of GenAI-Empowered Visual Instruction
▪ Interdisciplinary Project-Based Learning and Cross-Cultural Educational Innovation Based on AIGC Image Generation
▪ Evolution of Teachers' Digital Literacy in the AI Era: Visual Instruction and Creative Practice from a Human-AI Collaborative Perspective
▪ Ethical Challenges in GenAI Educational Visualization: Scientific Boundaries, Copyright Definition, and Algorithmic Bias

Submission method
Submit your Full Paper (no less than 5 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 6 (Generative AI-Empowered Visual Instructional Design: From Multimodal Resource Generation to Educational Agent Collaboration)
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Introduction of session organizers

Prof. Hung-Cheng Chen
Huanggang Normal University, China

Dr. Hung-Cheng Chen is a Professor at Huanggang Normal University and a Visiting Scholar at the National Institute of Education (NIE), Singapore. He holds a Ph.D. from National Taiwan University and was formerly a Guest Scholar at Kyoto University’s DPRI. His interdisciplinary research bridges tropical cyclone dynamics and educational technology. Recently, he has pioneered Generative AI applications in education, including classical poetry visualization, multimodal Chinese material generation, and the development of educational AI agents. He also utilizes AI workflows to optimize scientific communication. In collaboration with Dr. Lung-Hsiang Wong at NIE, he developed the MTA-TPACK Dynamic Collaboration Spiral, a framework that explains the cognitive mechanisms and empirical impact of human-AI collaboration in scientific educational visualization.

 

Dr. Lung Hsiang Wong
Nanyang Technological University, Singapore

Dr. Lung Hsiang Wong received his PhD in Computer Engineering from Nanyang Technological University (NTU), Singapore. He is currently a Senior Education Research Scientist at the National Institute of Education, NTU. He also serves as a Visiting Professor at Universitas Negeri Malang, Indonesia. Dr. Wong has been engaged in research in educational technology and the learning sciences for more than three decades. He is widely known for his work on mobile and seamless learning, including the highly cited “Ten Dimensions of Mobile Seamless Learning” framework. His PhD research focused on Intelligent Tutoring Systems. In recent years, he has returned to the field of AI in education and proposed the concept of Meta-Task Awareness (MTA) based on his extensive experience in university teaching and professional development for frontline teachers. MTA emphasizes cultivating learners’ and educators’ ability to move beyond prompt-engineering skills toward deeper human–AI collaborative thinking that leverages complementary strengths between humans and AI. Dr. Wong has published over 50 SSCI/SCI journal articles. He received the APSCE Distinguished Researcher Award in 2015 and has been listed among the world’s top 2% scientists in the Stanford University–Elsevier global ranking.