Noboru Matsuda is an Associate Professor of Computer Science at North Carolina State University. He received his B.A. and M.S. in mathematics education from Tokyo Gakugei University (Tokyo, Japan). He received a Ph.D. in intelligent systems from the University of Pittsburgh. He had postdoctoral research training in the Human-Computer Interaction Institute at Carnegie Mellon University. Prior to joining North Carolina State University, Dr. Matsuda was an Associate Professor of Cyber STEM Education and the Director of Innovative Educational Computing Laboratory at Texas A&M University.

Dr. Matsuda’s primary research interest is to advance theory of transformative learning technology and its applications in order to advance cognitive theory of learning and teaching. He is particularly interested in innovative artificial intelligence technologies for education that helps students learn, teachers teach, and researchers understand how people learn and fail to learn. His scholarly expertise thus spans education, learning sciences, cognitive science, and computer science (with a particular focus on artificial intelligence and machine learning).

In recent years, Dr. Matsuda has been leading an NSF (National Science Foundation) and IES (Institute of Education Studies, US Department of Education) funded SimStudent project where he is developing a computational model of learning and studies its educational applications. Using SimStudent as a synthetic tutee for students to learn by teaching is one of the most well-studied applications of SimStudent. Dr. Matsuda has also been a lead researcher on the NSF funded PASTEL project where he develops scalable and transformative learning-engineering methods to build adaptive online courseware efficiently. The PASTEL methods provide courseware developers with tools for evidence-based iterative courseware design and development.