Chair Professor of Emerging Technologies and Future Education; Associate Co-Director, Academy for Applied Policy Studies and Education Futures; and Executive Co-Director, Global Institute for Emerging Technologies; IEEE-TLT (Editor-in-Chief)
The Education University of Hong Kong, Hong Kong SAR, China & San Diego State University, USA
Minjuan Wang is newly appointed Chair
Professor of Emerging Tech and Future Education, at The Education University of
Hong Kong. She has also been a tenured professor of San Diego State University.
She is an Editor-in-Chief of the IEEE
Transactions on Learning Technologies (TLT). She is also a new associate Editor
with Nature-HSSC (Humanities and Social Science Communications).
Dr. Wang teaches Methods of Inquiry, Designing and Developing Learning for the
Global Audience, and Mobile Learning Solutions Development. Her research
specialties are multidisciplinary, focusing on learning across the Metaverse,
Cross-Reality (XR) and Immersive Learning, AI in education, and the
sociocultural aspects of learning design and the use of technology.
She has been collaborating with scholars worldwide on research and development
projects. She is a high-impact author, an internationally recognized scholar,
and has keynoted more than 40 international conferences. She is recognized as a
high-impact author, with more than 8000 citations on her English publications
and a H index of 42.
Speech Title: Metaverse and
Generative AI: Will They Revolutionize Education?
Abstract: Metaverse attracted worldwide attention since 2022. The
Metaverse is considered the third wave of the Internet revolution, able to
support persistent interconnected online 3D virtual environments (3DVE) and
promising to bring new levels of social connection and collaboration. How to
effectively design and use Metaverse in teaching and learning remains
crucial for the development of effective learning experiences. Meanwhile,
Generative AI such as ChatGPT, Bing, Bard, and Gemini entered the spotlight
in 2023 and stirred conversations around the world on their usage and
“threats” to education and training. How to effectively use Generative AI in
various disciplines remains a popular research topic.
In this presentation, Dr. Wang will attempt to answer this burning question
from many-- Will Metaverse and Generative AI Revolutionize Education in the
years to come? She will approach this topic from both a research and
development perspective, by taking you on an exciting tour of exemplary
metaverse platforms and also some of the popular AI tools for teaching and
learning. You will see firsthand the video of a 3D pedagogical framework (an
ecosystem) she created with her graduate students. In addition, she will
discuss the current research trends on both topics from and explore how to
ethically make the best use of Generative AI tools in different educational
settings.
IEEE Life Fellow
University of Florida, USA
José C. Príncipe (Life Fellow, IEEE) received the B.Sc. degree from the University of Porto, Porto, Portugal, in 1972, and the M.Sc. and Ph.D. degrees from the University of Florida, Gainesville, FL, USA, in 1974 and 1979, respectively, all in electrical engineering.,He is currently a Distinguished Professor of Electrical Engineering, a Distinguished Professor of Biomedical Engineering, and the Don D. and Ruth S. Eckis Chair of Electrical Engineering with the University of Florida. He is the founding Director of the Computational Neuroengineering Laboratory. His primary research interests include advanced signal processing with information-theoretic criteria, information-theoretic learning, and adaptive models in reproducing kernel Hilbert spaces, with applications to deep learning, reinforcement learning, and brain–machine interfaces.,Dr. Príncipe was the recipient of the IEEE Engineering in Medicine and Biology Society Career Award, the IEEE Neural Network Pioneer Award, and the IEEE Signal Processing Society Claude Shannon-Harry Nyquist Technical Achievement Award. He was the Editor-in-Chief for IEEE Transactions on Biomedical Engineering. He was the Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society and the President of the International Neural Network Society. He is a Fellow of academy for biological and medical engineering (ABME) and the American Institute for Medical and Biological Engineering.
Speech Title: TBA
Abstract: TBA
Athabasca University, Canada
Maiga Chang is a Full Professor in the
School of Computing and Information Systems at Athabasca University, Canada and
Honorary Chair Professor, Multidisciplinary Academic Research Center, National
Dong Hwa University, Taiwan. He is IEEE Senior Member. Dr. Chang has been
appointed as an IEEE Computer Society Distinguished Visitor for 2023 to 2025
(https://www.computer.org/profiles/maiga-chang) and also recently received
Distinguished Researcher Award from Asia Pacific Society on Computers in
Education (APSCE) in 2022 (https://new.apsce.net/apsce-award-winners/).
Dr Chang's research mainly focus on artificial intelligence; natural language
processing; intelligent agent and chatbot technology; game-based learning,
training and assessment; learning behaviour analysis; learning analytics and
academic analytics; health informatics; data mining; computational intelligence;
museum education mobile learning and ubiquitous learning; healthcare technology,
etc.
Dr. Chang is now Vice President (2022~) of International Association of Smart
Learning Environments (IASLE, http://iasle.net/). He is also IEEE Computer
Society Technical & Conference Activities Board (2022-2024,
https://www.computer.org/volunteering/boards-and-committees/technical-activities),
Asia-Pacific Society for Computers in Education (2017~2024, APSCE,
https://www.apsce.net/) and Global Chinese Society for Computing in Education
(2016~2025, GCSCE, http://gcsce.org/), and Chair (2021~) of Educational
Activities Committee, IEEE Northern Canada Section
(https://northerncanada.ieee.ca/ncs-executives/). Dr. Chang is also a Steering
Committee member (2020~) for International Conference on Intelligent Tutoring
Systems (ITS, https://iis-international.org/its/).
Speech Title: TBA
Abstract: TBA
Norwegian University of Science and Technology, Norway
Ekaterina Prasolova-Førland is Full Professor and Head of Innovative Immersive Technologies for Learning (IMTEL) research group and lab at the Norwegian University of Science and Technology. She has been working with educational virtual worlds and immersive technologies since 2002, with over 100 publications in the field. She has been involved in developing educational XR simulations for a wide range of stakeholders, including industry, hospitals, Norwegian Armed Forces and Labour and Welfare Administration. Ekaterina is Norway's ambassador for Women in Immersive Tech.
Speech Title: Educational
Immersive Technologies in a cross-disciplinary context
Abstract: Immersive technologies (VR/AR/XR and Metaverse) have
recently had an explosive development, opening broad opportunities in the
context of education. As learning environments, these technologies afford
immersive, adaptive and explorative learning spaces, well suited for
developing high-impact pedagogies. A successful adoption of these
technologies for educational purposes requires not only affordable and
high-quality equipment, but also solid pedagogical methodology and
cross-disciplinary collaboration between different stakeholders, subject
matter experts, educators, learners and developers. This talk provides an
overview of several cross-disciplinary projects at the Innovative Immersive
Technologies for Learning group (IMTEL) and lab at the Norwegian University
of Science and Technology, discussing development of educational immersive
applications in the fields of climate change, language, neuroscience,
history, protection of civilians, career guidance and other areas.