Journal of Aviation/Aerospace Education & Research

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Journal of Aviation/Aerospace Education & Research

The  Journal of Aviation/Aerospace Education & Research (JAAER)  is a double-blind, peer-reviewed scholarly publication that provides a free, open-access platform for educators and researchers in Aviation and Aerospace Academia and Industry. We publish innovative scholarship on the integration and discovery of scientific knowledge and its application to Aviation and Aerospace. Our journal has an esteemed panel of reviewers from well-respected academic, industry, and government institutions.

We invite submissions covering all dimensions of Aviation/Aerospace research and education; more specifically, we encourage submissions in original research, industrial application and design integration, education and workforce development, and reviews of important issues in Aviation and Aerospace. Our journal is inter- and cross-disciplinary in nature, covering a wide scope of areas.

  • Aviation Safety
  • Aviation Psychology, Human Factors and Ergonomics
  • Aviation/Aerospace Systems Design, integration, and Optimization
  • Modeling and Simulation in Aviation
  • Data Analytics and Statistical Analysis
  • Aviation Business
  • Aviation Education and Workforce Development 
  • Flight Training
  • Aviation Maintenance
  • Aviation Meteorology
  • Diversity and Sustainability in Aviation
  • Commercial Space Operations
  • Uncrewed Aircraft Systems (UAS)
  • Social and Legal Issues in Aviation

Volume 33, Number 5

Aviation training & technology.

User Experience, Motivation and Self-Efficacy Comparisons Between Virtual Reality and Conventional PC-Based Flight Simulation Training Tianxin Zhang Ph.D., Christina Frederick Ph.D., Andrew Dattel Ph.D., Elizabeth Blickensderfer Ph.D., and Barbara Chaparro Ph.D.

Real-Time Detection of Sea Turtles Using UAV and Neural Networks on Edge Devices Jose A. Gonzalez Nunez, Jose G. Gonzalez Nunez, Mustafa I. Akbas, Patrick Currier, and Nickolas D. Macchiarella

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Journal Issues:

  • Special Issue: Artificial Intelligence in Aviation
  • 2017 NTAS Conference Selected Articles

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ISSN: 2329-258X (Online)

ISSN: 1065-1136 (Print)

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