Augmenting flight training with artificial intelligence to efficiently train pilots

加拿大的商业飞行员严重短缺。到2025年将需要55，000名额外的飞行员，这在很大程度上是因为有资格进行此类培训的飞行员需求非常高，供应短缺。通过这种合作关系，来自阿尔伯塔大学和马尼托巴大学的人在环研究和智能辅导系统的先驱与德尔菲技术公司（DTC），一家创新的温尼伯飞行培训解决方案提供商联手。我们将合作提供新颖的方法来提高实习生的成绩，而不需要额外的讲师来帮助他们。该项目的主要成果是提高DTC的能力，以高成功率快速培训更多的飞行员，而不增加教员的工作量。本研究提出的解决方案将有助于1）有效地培训更多的学生飞行员，2）提高学生的保留率，3）扩大学生培训，以更好地满足飞行员的稀缺性，以及4）提供一个通用和有效的培训平台。这项应用研究将使用机器学习和智能辅导系统技术来实现一个新的基于模拟的培训管道，旨在大幅提高DTC培训计划的成功率。同时进行的基础研究也将有助于推进最先进的人类-人工智能协作和辅导。

There is a critical shortage of commercial pilots in Canada. 55,000 additional pilots will be needed by 2025, in large part because pilots qualified to conduct such training are in very high demand and short supply. With this partnership, pioneers in human-in-the-loop research and intelligent tutoring systems from the University of Alberta and the University of Manitoba join forces with Delphi Technology Corp (DTC), an innovative Winnipeg-based flight training solution provider. We will collaborate to provide novel methods to improve trainee student outcomes without requiring additional instructors to facilitate them. The primary outcome of this project is to improve DTC's ability to quickly train more pilots with high success rates without increasing instructor workload. The solutions proposed in this research will help to 1) train more student pilots efficiently, 2) increase retention of students, 3) scale student training to better satisfy this scarcity of pilots, and 4) provide a versatile and effective training platform. This applied research will use machine learning and intelligent tutoring system techniques to enable a new, simulation-based training pipeline that aims to dramatically increase the success of DTC's training program. Fundamental research, conducted concurrently, will also help advance the state of the art human-AI collaboration and tutoring.