Keynote Speakers

Kulthida TUAMSUK

Khon Kaen University, Thailand (C7 – PTP)

“Digital Learning Ecosystem for Transforming Classroom into Learning Community: Experiences from the Khon Kaen University Smart Learning Academy”

Dr. Kulthida Tuamsuk is currently a Professor and Senior Researcher In Information Science at Khon Kaen University (KKU), Thailand. She is a founder and director of the KKU Smart Learning Academy which is one of the most
well-known projects on the development of students’ competencies at the secondary level in Thailand. This project is established based on the research works in multi-disciplinary done by researchers from various faculties in KKU. The KKU Smart Learning project has launched and implemented their innovative model (methods and products) for transforming the learning ecology in classroom, through the principled concepts: transforming the students’ learning, by transforming the classroom and the teaching approach. The impacts of this project recognized at national level and accepted by the Ministry of Education.

Dr. Kulthida Tuamsuk is also specialized in Digital Humanities Research. Her research works in this field are well recognized and published in high quality international journals. She is a co-founder of a Consortium of iSchools in Asia Pacific (CiSAP), member of the Committee on Digital Humanities, iSchools Organization, and the former member of International Relation Affairs, the Association for Information Science and Technology (ASIS&T).


Swiss Federal Institute of Technology, Switzerland (C2: Computer-Supported Collaborative Learning and Learning Sciences)

“The classroom as a digital system”

Abstract: Entering a modern car is like entering a computer with wheels, seats and windows. Similarly, entering a classroom is like entering a large digital system with chairs, windows and a board. The input devices of this system are not a keyboard and mouse, but an entire classroom equipped with sensors. The output device of this system is not a screen but a set of digital elements distributed in the class. The output is of course not a simple reflection of the input but input data are processed by multiple operators that aggregate, compare and visualize data. The resulting dashboards are used for monitoring the learners’ progress in order to decide when and to whom to intervene. They are also used to compile data from the constructivist activities for supporting the debriefing phase, as well as to predict the completion time of an activity. Monitoring, debriefing and timing are central processes in classroom orchestration.


A former teacher in elementary school, Pierre Dillenbourg graduated in educational science (University of Mons, Belgium). He started his research on learning technologies in 1984. In 1986, he has been on of the first in the world to apply machine learning to develop a self-improving teaching system.  He obtained a PhD in computer science from the University of Lancaster (UK), in the domain of artificial intelligence applications for education. He has been assistant professor at the University of Geneva. He joined EPFL in 2002. He has been the director of Center for Research and Support on Learning and its Technologies, then academic director of Center for Digital Education, which implements the MOOC strategy of EPFL (over 2 million registrations). He is full professor in learning technologies in the School of Computer & Communication Sciences, where he is the head of the CHILI Lab: “Computer-Human Interaction for Learning & Instruction ». He is the director of the leading house DUAL-T, which develops technologies for dual vocational education systems (carpenters, florists,…). With EPFL colleagues, he launched in 2017 the Swiss EdTech Collider, an incubator with 80 start-ups in learning technologies. He (co-)-founded 4 start-ups, does consulting missions in the corporate world and joined the board of several companies or institutions. In 2018, he co-founded LEARN, the EPFL Center of Learning Sciences that brings together the local initiatives in educational innovation. He is a fellow of the International Society for Learning Sciences. He currently is the Associate Vice-President for Education at EPFL.

Tiffany BARNES

NC State University, USA (C1 AIED/ITS)

“Engaging human and artificial intelligence for better learning experiences”




National Taiwan University of Science and Technology, Taiwan (C4 – Mobile & ubiquitous learning)

Applications and Research Issues of Artificial Intelligence in Education in the Mobile Era

The advancement of artificial intelligence (AI) technologies has attracted the attention of researchers in the globe. However, it remains a challenging task for educational technology researchers to apply AI technologies to school settings, not to mention designing AIED (Artificial Intelligence in Education) studies. In this talk, Prof. Hwang is going to introduce the basic conceptions and applications of AI; following that, potential research issues of AIED in the mobile era are presented. In addition, several examples are given to demonstrate how AI can be used to promote teaching and learning outcomes. Finally, several approaches to designing and implementing AIED research are demostrated.


Prof. Gwo-Jen Hwang is Chair Professor of Graduate Institute of Digital Learning and Education in National Taiwan University of Science and Technology. He serves as an editorial board member and a reviewer for more than 40 academic journals of educational technology and e-learning. Currently, he is the Editor-in-Chief /Lead Editor of Australasia Journal of Educational Technology (SSCI), International Journal of Mobile Learning and Organisation (Scopus, Q1), Journal of Computers in Education (Scopus, ESCI) and Computers & Education: Artificial Intelligence (Elsevier).

Prof. Hwang has published more than 700 academic papers, including more than 200 SSCI journal papers. Owing to his reputation in academic research and innovative inventions in e-learning, he received the annual most Outstanding Researcher Award from the National Science Council of Taiwan in the years 2007, 2010 and 2013. Moreover, in 2016, he was announced by Times Higher Education as being the most prolific and cited researcher in the world in the field of social sciences: