Biography
Rich Ingram has seen the study of human cognition progress from behaviorism to cognitive behaviorism to cognitive psychology to cognitive neuroscience to cognitive psychophysiology, and now to its emerging embodiment as educational psychophysiology. He was there to see the early conception of concepts evolve from computational models of learning to machine induction and modern machine learning, which heralded the arrival of Big Data and advanced learning analytics. Tying all of this together is a fascination with the thinking style of James Burke, for whom “Everything is connected to everything including you, too, of course”.
Dr Ingram trained and worked as a school psychologist before moving on to complete his doctoral work in Instructional Systems Technology at Indiana University (Bloomington). He worked as a corporate consultant for 13 years before joining James Madison University. Here he has designed and led major research and development efforts, including serving as the Director of the JMU/Microsoft Partners in Learning initiative for six years, promoting performance certification and twenty-first century (P21) skills. He has written analysis software for widely-used psychometric instruments and dabbled in artificial intelligence. His Selection Expert perceptron has achieved a 100% hit rate identifying “great” teachers relative to teachers who are merely “good”, and a 92% hit rate for identifying winning and losing NFL teams. (Ask about typicality.)
Keynote Presentation (2019) | "The Psychophysiology of Educational Neuroscience"
