
Dr. Chi-Jung Sui specializes in science education, digital learning, and self-regulated learning. His research focuses on learning analytics, competency-based assessment, and technology integration in education, striving to bridge the gap between educational research and teaching practice. Dr. Sui advocates for the application of generative AI scaffolding in science learning and self-assessment to enhance students' learning outcomes and metacognitive abilities.
Before joining the National Academy for Educational Research, Dr. Sui worked as a full-time teacher and homeroom teacher in junior high school, gaining hands-on experience in test development, curriculum design, student research mentorship, and teacher professional learning community leadership. After earning his doctoral degree, he served as a postdoctoral research fellow at National Taiwan Normal University, where he developed and studied AI-adaptive interactive learning platforms for AI TPACK and AI scaffolding applications in self-regulated learning. In 2024, he visited the Department of Educational Technology at the University of Twente in the Netherlands as a visiting scholar, conducting cross-cultural research on AI-assisted learning in socio-scientific issues between Taiwan and the Netherlands.
His research has been published in SSCI-indexed journals in science education and digital learning, including Science Education, Journal of Science Education and Technology, and Education and Information Technologies.