Second-year graduate student, Andrew Graves, gave a presentation regarding his thesis plans on February 17th. His thesis examines link-based learning systems via electrodermal responses. Some researchers argue a single-process model drives human associative learning, a propositional model guided by effortful controlled reasoning. Other researchers argue for a dual-process model, in which two independent processes drive human associative learning, one propositional in nature, and one guided by automatic associations. The intent of his research is to collect evidence supporting either the single-process model or dual-process model, by testing if the single-process model makes either correct or incorrect predictions under certain circumstances. Results from the current research will contribute to the conversation regarding associative learning models in humans. Andrew is mentored by Dr. Kenneth M. Steele.
Andrew Graves
