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Published on: May 19, 2023
Enhancing performance feedback in computer-based aviation training simulations
Xi Wang1,2,3, Xu Sun1, Xingda Qu4
1Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China.
Abstract:
Feedback plays a crucial role in enhancing the efficiency of a personal computer aviation training device (PCATD) which makes it a key application of optimising resource use and improving training outcomes. This paper makes a new attempt to explore the training feedback as a novel approach for the performance effect in PCATDs. A prototype was designed and evaluated in a lab-based experimental study with 29 student pilots, during which we compared the impact on design of feedback time, granularity, type and content on flight training outcomes. The results indicate that feedback interventions significantly enhance performance. Specifically, shorter feedback intervals and finer feedback granularity were found to improve training outcomes by reducing cognitive overload caused by excessive information. Furthermore, adaptive feedback had potential applications in PCATDs. These findings contribute valuable insights to the design of advanced instructional strategies for PCATDs, paving the way for more effective and efficient pilot training methodologies.
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