A statistically based training diagnostic tool for Marine aviation

Abstract

This work focused on the design of a graphical user interface to improve instructional design models and decision support for Marine aviation training. Trainee performance data was collected, analyzed, and compared the results of a survey of instructor pilots to find correlations between the scores assigned and opinions on the critical items identified by instructors. This information was used to inform the design of a system that provides leadership with trainee trends in visual form. Such a system could allow for early training interventions for those who struggle and better training management for those who are excelling. Although this thesis focused on the aviation domain, this methodology could be generalized to any U.S. Marine Corps or military training evaluation system using a criteria-referenced performance rating system. The sample data did not provide sufficient statistical evidence to predict future performance; however, it was sufficient to provide a meaningful visual representation of performance trends. The results gained in the analysis allowed for recommendations on changes to the current evaluation system and improvements to the technologies used to inform decision makers. A prototype of the designed graphical user interface is presented.