Keynote Speakers
Speech Title
A New Framework for Human-Technology Collaborative Cognition and Creation in the GenAI Era
Prof. Zhu, Zhiting
Lifetime Professor
East China Normal University, China
Speaker Bio
Zhiting Zhu (祝智庭) is a Lifetime Professor at East China Normal University and a PhD supervisor in Educational Technology. He also serves as the Chief Consultant for the Ministry of Education's E-Learning Technology Standards Committee and is a Special Advisor at the UNESCO International Centre for Higher Education Innovation, among other roles. His research areas include the design of digital education technology systems architecture and technical standards, the theories and cultural transformation of education digitalization, and the theories and practical models of wisdom education.
Speech Summary
In the era of Generative Artificial Intelligence (GenAI), the collaborative cognition and creation between humans and AI are reshaping our world. This report explores a new framework, illustrated through a diagram, showcasing the complementary strengths of humans and AI in collaborative optimization, unique human capabilities, AI enhancements, and joint exploration. Through this dimensional thinking, we will reveal new directions for future educational development, construct a novel framework for wisdom education, and focus on GenAI-empowered convergence education to cultivate new-quality talents suitable for the digital and intelligent era.
Speech Title
AI-Driven Immersive Learning: The Future of Metaverse & Education
Dr. Li, Yung-Hui
Senior Director
AI Research Center, Hon Hai Research Institute, Taiwan
Speaker Bio
Dr. Yung-Hui Li is the founding director of AI Research Center at Hon Hai Research Institute, Foxconn's core R&D center. He holds degrees from National Taiwan University (B.S., 1995), University of Pennsylvania (M.S., 1998), and Carnegie Mellon University (Ph.D., 2010). Previously a tenured professor at National Central University, Taiwan, he now leads research at Foxconn. His team excels in autonomous driving, winning top ranks in global challenges including Argoverse 1 & 2 Motion Forecasting Competition (CVPR 2023, 2024), Waymo Sim Agents Challenge (CVPR 2024), and securing second place in Waymo Motion Prediction Challenge (CVPR 2024). Dr. Li has received gold and silver medals at international invention exhibitions in Geneva, Pittsburgh (INPEX), and Silicon Valley (SVIIF). His research focuses on Generative AI, Large Language Models, Multimodal Foundation Models, and their applications in Computer Vision, Autonomous Driving, Smart Manufacturing, and Biometrics. He has published over 100 papers in top AI conferences (including CVPR, EMNLP, AAAI) and journals (including IEEE Transactions on Pattern Analysis and Machine Intelligence, Cybernetics, Intelligent Transportation Systems, Intelligent Vehicles, and ACM Computing Surveys).
Speech Summary
As artificial intelligence (AI) continues to revolutionize
industries, its impact on education is becoming increasingly profound. This keynote explores
how Generative AI, Metaverse technologies, and Immersive Learning are converging to reshape
the future of education.
We will begin by examining how AI 2.0 and foundation models enable personalized learning
experiences, intelligent tutoring systems, and adaptive digital education platforms. We will
then explore the role of AR/VR and the Metaverse in creating interactive, immersive learning
environments, allowing students to engage with content beyond traditional
classrooms.
A key highlight will be the PRO-U-GAT-IT framework, an advanced AI-driven image-to-image
translation model that enhances digital content generation. This innovation supports
real-time, adaptive, and scalable educational experiences, transforming virtual field trips,
hands-on STEM experiments, and collaborative simulations.
Additionally, we will discuss challenges and ethical considerations, including AI-generated
biases, computational resource constraints, and the need for regulatory frameworks to ensure
responsible AI deployment in education.
By integrating Generative AI, Metaverse, and real-time interactive technologies, we envision
a future where education is more engaging, inclusive, and tailored to individual needs. This
keynote will provide insights into how AI-driven immersive learning will shape the next
generation of digital education and workforce training.
Speech Title
Co-creating AI literacy to empower future generations
Dr. Linda Mannila
Associate Professor
University of Helsinki, Finland
Speaker Bio
Linda Mannila is an Associate Professor specializing in the societal aspects of AI at the Department of Computer Science, University of Helsinki, Finland. She also holds the position of Visiting Associate Professor in Computer Science Education at Linköping University, Sweden. She has led several cross-curricular research projects related to digital competence, programming and AI at K-12 level. Currently her research explores public perceptions of AI as well as AI in education, with particular focus on AI literacy from a student, teacher, and organizational perspective. She also leads NordicEdAI, a cross-Nordic interdisciplinary network dedicated to addressing questions related to AI in education.
Speech Summary
Today’s youth grow up in an era where AI is both a powerful tool
and a pervasive influence in everyday life. While AI presents a multitude of opportunities,
it also introduces challenges such as privacy risks, exposure to biased content, and the
potential for overreliance on automated decision-making. This keynote explores the need for
AI literacy in K-12 education. Building on lessons from computing related curricular reforms
and insights from international policy discussions, the presentation outlines a four-stage
process for co-creating AI lesson plans with students, teachers, and teacher trainers
illustrated through case studies from the Nordic countries. Additionally, it discusses the
results from an international, multi-stakeholder on framing AI literacy for K-12 education,
highlighting AI literacy as a field that demands both technical understanding and ethical
considerations.
