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Grant: Alliance Grants

University of Alberta

$120,000.00

Augmenting flight training with artificial intelligence to efficiently train pilots

EF 2022-23

Résumé
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.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
576737-2022
Name nom
Taylor, Matthew ME
Department département
Computing Science
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
120000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:1
Partie
1
Nb partie
1
Application title
Augmenting flight training with artificial intelligence to efficiently train pilots
Application summary
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.