Kenneth J. Kurtz

Kenneth J. Kurtz is a Professor in the Department of Psychology at Binghamton University. His research focuses on cognitive mechanisms underlying categorization, comparison, and analogical reasoning. He investigates how these processes bridge perceptual experience and stored knowledge, with applications in education and machine learning. His lab employs behavioral studies and neural network models, such as the DIVA model, to study human learning and conceptualization.

Education: PhD in Psychology from Stanford University, BS from Brown University. Current research interests include relational category learning, neural network simulations of cognition, and transfer of learning in educational settings. He is accepting graduate students for Fall 2024.

Key research areas involve the role of comparison in promoting analogical transfer, relational encoding for problem-solving, and the design of effective pedagogical strategies to enhance conceptual understanding. His work emphasizes the interplay between perceptual input and abstract knowledge structures.

Recent studies explore how structured comparison and category construction can improve generalization and transfer in learning tasks, with implications for both cognitive science and educational technology. His team also investigates computational models that simulate human categorization processes and their implications for AI.