Identifying Individual Factors Which Impact Student Learning in a Desktop Flight Training Simulator

Author(s)

Tim Ryley PhD, Griffith University, BrisbaneFollow
Guido Carim Junior PhD, Griffith University, BrisbaneFollow
James McBroom FRSS, Griffith University, BrisbaneFollow
Elvira Marques PhD, Griffith University, BrisbaneFollow
Chris Campbell EdD, UNSW, CanberraFollow
Nnenna Ike PhD, University of South AustraliaFollow

Volume

34

Issue

2

Key words

Flight training, Simulator, Desktop Training Device, Student pilot

Abstract

With expected global growth in air transport demand and forecasted shortage of pilots, there is a need for faster and cheaper flight training. A range of protocols was used to assess factors such as student’s emotional state, adaptive performance, and situational awareness as possible predictors of flight performance based on the influence of these factors on student flight performance conducted using a Personal Computer-based Aviation Training Devices (PCATD). Factor analysis and regression models were used to identify how these factors related to student performance during a visual flight conducted using a desktop simulator and our findings demonstrated some influence of adaptive performance, emotional state, and situation awareness upon student flight scores.

Scholarly Commons Citation

Ryley, T., Carim Junior, G., McBroom, J., Marques, E., Campbell, C., & Ike, N. (2025). Identifying Individual Factors Which Impact Student Learning in a Desktop Flight Training Simulator. Journal of Aviation/Aerospace Education & Research, 34(2). DOI: https://doi.org/10.58940/2329-258X.2113