Prof. Elliot Soloway
University of Michigan, USA
Biography
Elliot Soloway, Arthur F. Thurnau Professor, CSE Division, College of Engineering, School of Education, University of Michigan, Ann Arbor. In 2001, undergraduates selected him to receive the “Golden Apple Award” as the Outstanding Teacher of the Year at UMich. In 2019 Soloway co-founded the Center for Digital Curricula, whose mission is to provide deeply-digital, OER curricula to K-12 teachers and students. Since 2019-20, 10,000+ K-5, children have used the Center’s curricula – and demonstrated increased scores on standardized tests.
Prof. Cathleen Norris
(Co-speaker)
University of North Texas, USA
Biography
Cathie Norris, Regents Professor Emerita, College of Information, the University of North Texas, Denton, TX. From 1995-2001, Norris was President of the National Educational Computing Association, and led its merger with ISTE, the International Society for Technology in Education, creating the largest, international organization for technology-minded educators in the world. Norris was Co-President of ISTE from 2001-2004. Norris taught high school for 14 years – receiving a Golden Apple Award from Dallas ISD along the way. Norris is the co-founder and Co-Director of the UMich. Center for Digital Curricula.
Title: Are Schools Woefully Unprepared for the 3rd Educational Revolution?
Abstract: Today's schools are already challenged to support the digital/screen-first Alpha Generation (2010-2024) children! While Chromebooks and laptops finally proliferated during and after the COVID lockdowns, many teachers find using digital curricula and digital pedagogy a challenge and voice sentiments such as “I have 3 years to retirement, and you expect me to learn something new?” Further, for the most part, current "digital curricula" are simply text-heavy, paper-and-pencil curricula put on a computer, e.g., digitized worksheets and textbooks, etc. But dramatic change is possible! In our presentation, we will report on graphically-oriented, colorful, deeply-digital, interactive, collaborative curricula and an associated learning platform that teachers and their Alpha students are using today with success. But this is just the tip of the iceberg! Looking to the near-term future, how are we going to change the way teachers are prepared, change curricular offerings, and prepare schools for the Gen Betas (2025-2039) in the "AI Age"– the 3rd educational revolution?
Prof. Ting-Ting Wu
Yunlin University of Science and Technology
Biography
Prof. Ting Ting Wu is currently a Distinguished Chair Professor and Director in Graduate School of Technological and Vocational Education at National Yunlin University of Science and Technology. She received her Ph.D. degree from the Department of Engineering Science at National Cheng Kung University in 2011. She received the MS degree in Information and Learning Technology from National University of Tainan in 2008. The academic research was focused on learning portfolio analysis, mobile and ubiquitous learning, information technology assisted instruction, and implementation and development of intelligent learning system in five years. She has published many international journal papers and conference papers. One of the journal papers (ET&S) was selected as 2013 & 2014 ISI Highly-Cited paper, and a total of fourteen conference paper won the best paper award. For now, she served as Director for Educational Technologies Research Center of Humanities and Applied Science and Secretary-General in Association of Taiwan Engineering Education and Management. She has won the Ta-You Wu Memorial Award, Outstanding Youth Award, Academic Research Prestige Award, and Outstanding Research Award of National Science and Technology Council. She got Top 2% Scientists Worldwide 2022, 2023, and 2024 by Stanford University. In addition, Prof. Wu has also been invited to speak at several international seminars and conferences. So far, Prof. Wu has international cooperative research with Norway, China, Indonesia, the United States, and Slovenia.
Title: Synergistic AI Innovation in Education: Transforming Teaching and Learning Through Integrated Generative AI, Computer Vision, and Learning Analytics
Abstract: This keynote examines how the integration of generative artificial intelligence, computer vision, and learning analytics is reshaping the future of teaching and learning. As traditional instructional models struggle to meet diverse learner needs, these emerging technologies offer new possibilities for understanding learning processes and providing adaptive support. The session introduces the Precision Education Framework and its four pillars: diagnosis, prediction, intervention, and prevention. This framework demonstrates how multimodal data can guide personalized learning, enable early detection of difficulties, and support proactive instructional design. Real-world cases will be shared, including ChatGPT-based learning aids, real-time engagement detection systems, and institutional practices from Purdue University, Georgia State University, and the University of Michigan. These examples show how coordinated AI systems can identify challenges, anticipate risks, inform individualized support, and contribute to curriculum improvement. The keynote also discusses essential ethical considerations such as data privacy, fairness, transparency, and evolving understandings of academic integrity in the AI era. It concludes by highlighting emerging directions in metacognitive AI coaching, collaborative human–AI learning environments, and institution-wide transformation grounded in both technology and pedagogy. The presentation positions synergistic AI integration as a pathway toward more responsive, equitable, and future-ready educational ecosystems.
Assoc. Prof. Xuewang Geng
Sojo University, Japan
Biography
Xuewang Geng is an Associate Professor at the Faculty of Computer and Information Sciences, Sojo University. He earned a B.A. from Hebei Normal University (2015) and an M.S. (2020) and Ph.D. (2024) from Kyushu University. His work focuses on designing, developing, and evaluating technology-enhanced learning environments, with emphasis on learning analytics and XR-based systems. He serves on the JSET Research Committee (2025– ) and the program and local organizing committees for ICLEA 2025. He has served on program committees for international conferences LAK (CORE A), IEEE ICALT (CORE B), and IEEE TALE. He is also a reviewer for journals such as Computers & Education and Innovation in Language Learning and Teaching. Geng is a member of IEEE, the Japan Society for Educational Technology (JSET), the Japanese Society for Information and Systems in Education (JSiSE), and the Society for Learning Analytics Research (SoLAR).
Title: AI in Education Through Multiple Lenses: Understanding Benefits and Challenges from Teacher and Student Perspectives
Abstract: Artificial intelligence is rapidly transforming education, yet its impact must be understood from multiple perspectives. This talk examines AI in education through two essential viewpoints: those of teachers and students.
For teachers, AI provides powerful tools such as automated assessment systems that reduce grading workload, learning analytics dashboards that reveal students’ learning patterns, and AI chatbots that offer 24/7 support. At the same time, these technologies introduce challenges related to pedagogical autonomy, the need for new professional competencies, and potential over-reliance on algorithms that may not fully capture the complexity of learning.
For students, AI enables personalized learning pathways, immediate feedback, and adaptive content tailored to individual progress. However, these benefits come with concerns regarding data privacy, algorithmic bias that may disadvantage certain groups, and possible negative effects on critical thinking when students depend too heavily on AI assistance.
Drawing on recent research in educational technology, this talk provides a balanced overview of current AI applications in education and discusses implications for future practices.