Dr. Jonathan Rowe is a Research Scientist in the Center for Educational Informatics at North Carolina State University. His research investigates artificial intelligence and human-computer interaction in adaptive learning technologies, with an emphasis on game-based learning environments, intelligent tutoring systems, interactive narrative technologies, educational data mining, and user modeling. He serves on the editorial boards of the International Journal of Artificial Intelligence in Education and IEEE Transactions on Learning Technologies. In addition, he has served as General Chair and Program Chair for the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE).
Dr. Bradford Mott is a Senior Research Scientist in the Center for Educational Informatics at North Carolina State University. Prior to joining North Carolina State University, he served as a technical director in the video game industry where he created cross-platform middleware solutions used extensively in commercial games and training applications. Dr. Mott’s research spans game-based learning environments, intelligent tutoring systems, educational data mining, and computational models of interactive narrative. His work has been recognized with several best paper awards and he has contributed to award winning video games, including one that received a game of the year award.
Dr. Luc Paquette is an Assistant Professor in the Department of Curriculum & Instruction at the University of Illinois at Urbana-Champaign. His research focuses on the analyses of process data to model the behaviors of students as they interact with digital learning environments (including educational games) and to study how models of student behaviors can be used to better understand the students’ learning experience and better support them through it. He serves on the advisory board of the International Educational Data Mining Society.
Dr. Seung Lee is a Research Scientist in the Center for Educational Informatics at North Carolina State University. He received his Ph.D. in Computer Science from North Carolina State University. His dissertation work investigated a supervised machine learning framework for narrative planning in game-based learning environments for K-12 science education. His research interests lie in applying AI and machine learning to create adaptive learning environments for applications in education and training.