Project Leader

Dr. Jerry Chih-Yuan Sun is a Distinguished Professor in the Institute of Education (Division of eLearning)/Center for Teacher Education at the National Yang Ming Chiao Tung University in Taiwan, where he leads the Interactive Learning Technology and Motivation Lab (see https://ILTM.lab.nycu.edu.tw/). He holds a doctoral degree in education and a master’s degree in computer science from the University of Southern California. His major research interests are integrating various types of innovative technology-enabled feedback, including IRS, EEG bio-feedback, and online smart feedback, as well as investigating how these learning environments influence students’ motivation. In 2016, Dr. Sun received the Ta-You Wu Memorial Award for Young Scholars’ Research Excellence from Taiwan Ministry of Science and Technology (MOST). In 2021, he received the Outstanding Research Award from the MOST. His recent projects have focused on the development of interactive feedback technologies and the relevant teaching strategies, and investigated the effect on students’ motivation. He is also a principal investigator of the sub-project of Taiwan Research Ethics Education. The goal is to maintain the e-learning resource center, develop the smart/adaptive learning environment, and analyze students’ behaviors based on learning analytics, sequential analysis, and cluster analysis in order to serve as a reference for improving learning systems, enhancing students’ motivation, and developing smart learning environments.

Dr. Sun’s recent publications emphasized the innovative teaching tools and learning motivation. One of his papers published in Computers & Education provided an innovative research method for e-learning by applying brainwave analysis in the classroom setting to assess the effect of interactive learning technology. In addition, the interactive, feedback-based in-class teaching system (iFIT) App developed for the MOST project helps teachers increase in-class interactions and get instant feedback. He hopes to provide not only theoretical insight but also feasible strategies, which would help create a more engaging experience for students involved in the learning environment.

• Learning Motivation
• Educational Psychology and Technology
• Interactive Learning and IRS
• Analysis of Physiological Signals and Biofeedback
• Smart Learning and Learning Analytics

• Distinguished Professor and Director, Institute of Education / Center for Teacher Education
• Visiting Research Fellow, National Center for High-performance Computing, National Applied Research Laboratories (February to July, 2021)
• Chair, Special Interest Group (SIG) of Classroom, Ubiquitous and Mobile Technologies Enhanced Learning (CUMTEL), Information Education Discipline for Research
• Development, Ministry of Science and Technology (MOST)
• Associate Editor, Australasian Journal of Educational Technology (SSCI)
• Editorial Board Member: Educational Technology and Society (SSCI)
• Associate Editor, IEEE Bulletin of the Technical Committee on Learning Technology (ESCI)
• Editorial Board Member, Computers and Education Open

• 2021｜Outstanding Research Award, Taiwan Ministry of Science and Technology
• 2018 – 2021｜Research Projects for Young Scholars’ Research Excellence, Taiwan Ministry of Science and Technology
• 2016｜Teaching Excellence Award, NCTU
• 2015｜Ta-You Wu Memorial Award for Young Scholars’ Research Excellence, Taiwan Ministry of Science and Technology
• 2014｜Best College Advisor Award, NCTU
• 2015 – Now｜Hiring bonus for research excellence, NYCU