Rate My Professor Rong-Tai Jin

Rong-Tai Jin serves as Assistant Professor with a joint appointment from Hua-Shih Education College and the Department of Education and Human Potential Development at National Dong Hwa University. Hua-Shih Education College continues the legacy of National Hualien Teachers College. He holds a PhD from the Institute of Neuroscience at National Yang-Ming University, obtained in 2010. Earlier in his career, Jin worked as a postdoctoral researcher at the Brain Science Research Center of National Tsing Hua University starting in November 2011. His research domains span multiple fields including psychology with emphases on cognitive neuroscience, cognitive electrophysiology, and psychological and educational statistics and testing; education with a focus on educational neuroscience; and control engineering covering brain-computer interfaces and machine learning. Additional interests include social neuroscience, psychophysiology, cognitive control, emotional modulation, cognitive neuroscience, social neuroscience, and educational neuroscience.

As Deputy Director of the Educational Neuroscience Experimental Center at Hua-Shih Education College, Jin contributes to experimental research employing psychophysiological techniques, brain-computer interfaces, and cognitive electrophysiology to examine cognitive processes, social interactions, and educational applications. He maintains an office in Room B412 of the Education Building, with contact available via phone at 03-8903834. Jin has co-authored the article 'University Contributions to Energy Saving and the SDG: A Case Study from Taiwan' published in SDGsReview in 2025, which evaluates five energy-saving action plans at a Taiwanese university using the Analytic Hierarchy Process to measure contributions to sustainable development goal indicators. He has delivered academic lectures on topics such as brain-computer interfaces and brain science experimental design, ERP recording and data analysis in cognitive neuroscience research, and cognitive neuroscience applications in human-machine interaction.