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Uncertainty-handling assessment using nondeterministic learning tasks in pilot selection

Abstract : This paper addresses selection for entry into the French commercial pilot ab initio training, namely the ENAC (École Nationale de l'Aviation Civile). Applicants are mainly (more than 80%) coming from scientific preparatory classes for competitive admission to the "Grandes Écoles". Therefore these applicants are hand-picked based on their school grades in mathematics and physics. To give a hint, in 2005, only 15% of the French GCE A-Level students were selected for entry into such preparatory classes. The current pilot selection process at the ENAC is composed of three steps: 1. written exams (mathematics, physic and English), with a success rate of 40%; 2. cognitive ability tests (visual perception, mechanical knowledge, sequential reasoning, quantitative reasoning, attention and psychomotor ability), with a success rate of 30%; 3. group exercises, individual interviews and an English oral exam, with a global success rate of 35%. Each year, the ENAC hires 40 to 60 pilot trainees, selected from 1500 to 1800 applicants. Despite the low selection ratio, some pilot trainees do fail during training, especially during practical training. For the last five years, failure rates during training ranged from 6 to 10% (i.e., 3 to 5 pilot trainees per year). Considering the high cost of the practical training, efforts are made to better understand the failures' origins and to adapt the selection process to these findings if necessary. Therefore we analyzed these individual training failure cases and related them to findings of the literature.
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Submitted on : Friday, July 18, 2014 - 3:40:45 PM
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Nadine Matton, Éric Raufaste, Stéphane Vautier. Uncertainty-handling assessment using nondeterministic learning tasks in pilot selection. EAAP 2008, 28th Conference of the European Association for Aviation Psychology, Oct 2008, Valencia, Spain. pp 50-54. ⟨hal-01022485⟩



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