Opportunity at Air Force Research Laboratory (AFRL)
Computational Analysis of Half-Life Learning Curve Models for Cognitive Human Performance Assessment
Air Force Institute of Technology
||AFIT, Wright-Patterson AFB, OH 454337542
|Adedeji B Badiru
||937.255.3636 ext 4799
Learning curves are useful for assessing human performance improvement due to the positive impact of learning. In recent years, the deleterious effects of forgetting have also been recognized. Workers experience forgetting or decline in performance over time. Consequently, contemporary learning curves have attempted to incorporate forgetting components into learning curves. An area of increasing interest is the study of cognitive aspects how fast and how far the forgetting impact can influence overall performance. This project is exploring the computational analysis of learning curves using the concept of half-life analysis of growth and decay, with particular emphasis for defense applications. The computational analysis of the proposed technique lends itself to applications for designing training program, technology learning, and reinforcement of technical knowledge.
Badiru AB, Elshaw J, Everly M: Journal of Aviation and Aerospace Perspectives 3(2): 6-37, 2013
Badiru AB: Defense Acquisition Research Journal 19(3): 283-308, 2012
Learning curve; Modeling; Human performance; Half-life theory; Forgetting; Cognitive;
Open to U.S. citizens
Open to Postdoctoral and Senior applicants
$3,000 Supplement for Doctorates in Engineering & Computer Science
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.