Training for Prediction and Management of Complex and Dynamic Flight Situations
Ioana Koglbauer
Abstract
Open-access reader
Ioana Koglbauer
Abstract
Open-access reader
This study proposes and evaluates a systemic method for ab initio pilot training for prediction and management of complex and dynamic flight situations. Complex flight scenarios were simulated for training in a network of flight simulators. The new training program was evaluated with forty student pilots assigned to an experimental and a control group in a pre- and post-test design. The results show that student pilots can learn complex multitasking skills from the very beginning of their flight instruction. Greater amount of training leads to better learning results. In addition, the multitasking skills could be transferred from simulated to real flight.
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This study proposes and evaluates a systemic method for ab initio pilot training for prediction and management of complex and dynamic flight situations. Complex flight scenarios were simulated for training in a network of flight simulators. The new training program was evaluated with forty student pilots assigned to an experimental and a control group in a pre- and post-test design. The results show that student pilots can learn complex multitasking skills from the very beginning of their flight instruction. Greater amount of training leads to better learning results. In addition, the multitasking skills could be transferred from simulated to real flight.
Key concepts: Human multitasking, Training (meteorology), Flight training, Flight simulator, Computer science, Simulation, Flight management system, Control (management)