Implementing Artificial Intelligence and Machine Learning into Advanced Qualification Programs
Embry-Riddle Scholarly Commons · Journal article (JAAER) · oai:commons.erau.edu:jaaer-1890 · Published 2021-01-01 · Embry-Riddle Aeronautical University · 1 author
Abstract and citation only, verbatim from Embry-Riddle Scholarly Commons; full text lives there. All credit to the authors and Embry-Riddle Aeronautical University.
Abstract
Since its start, the Advanced Qualification Program (AQP) has encouraged new and innovative strategies for training airline crewmembers. The foundation of AQP is to train crew the way they fly and to find new and innovative ways to increase safety through training. By using data collected through the AQP process, training methods can be refined and improved. New technologies, such as artificial intelligence (AI) and machine learning can make data analysis and training more effective and efficient. This paper will explore these concepts and how AI and machine learning could be implemented in the AQP process to make training more effective and make pilots, crewmembers, and passengers safer.
Author
- Herr, Jennifer R Embry-Riddle Aeronautical University
Keywords
- AQP
- Advanced Qualification Program
- Machine Learning
- Artificial Intelligence
- Adaptive Learning
- Aviation Safety and Security
- Curriculum and Instruction
- Management and Operations
Citation
Herr, Jennifer R (2021). Implementing Artificial Intelligence and Machine Learning into Advanced Qualification Programs. Embry-Riddle Aeronautical University. Embry-Riddle Scholarly Commons ID oai:commons.erau.edu:jaaer-1890. https://commons.erau.edu/jaaer/vol30/iss1/6 ↗