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Articles 1 - 5 of 5
Full-Text Articles in Education
Implementing Artificial Intelligence And Machine Learning Into Advanced Qualification Programs, Jennifer R. Herr
Implementing Artificial Intelligence And Machine Learning Into Advanced Qualification Programs, Jennifer R. Herr
Journal of Aviation/Aerospace Education & Research
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 …
A Proposed Taxonomy For General Aviation Pilot Weather Education And Training, John M. Lanicci, Thomas A. Guinn, Jayde M. King, Beth Blickensderfer, Robert Thomas, Yolanda Ortiz
A Proposed Taxonomy For General Aviation Pilot Weather Education And Training, John M. Lanicci, Thomas A. Guinn, Jayde M. King, Beth Blickensderfer, Robert Thomas, Yolanda Ortiz
Journal of Aviation/Aerospace Education & Research
As General Aviation (GA) safety continues to remain a focus of the aviation community, GA pilot weather education and training continues to be an active area of interest within the research community. This study introduces a taxonomy for organizing GA pilot weather education and training materials that was originally conceived as part of the FAA’s Weather Technology In the Cockpit research program. The taxonomy is built upon three main knowledge categories, or tiers:1) Weather Phenomena (which includes hazards); 2) Weather Hazard Products; and 3) Weather Hazard Product Sources and their Application. The concept behind the categorization is to link knowledge …
Space Operations In The Suborbital Space Flight Simulator And Mission Control Center: Lessons Learned With Xcor Lynx, Pedro Llanos, Christopher Nguyen, David Williams, Kim O. Chambers Ph.D., Erik Seedhouse, Robert Davidson
Space Operations In The Suborbital Space Flight Simulator And Mission Control Center: Lessons Learned With Xcor Lynx, Pedro Llanos, Christopher Nguyen, David Williams, Kim O. Chambers Ph.D., Erik Seedhouse, Robert Davidson
Journal of Aviation/Aerospace Education & Research
This study was conducted to better understand the performance of the XCOR Lynx vehicle. Because the Lynx development was halted, the best knowledge of vehicle dynamics can only be found through simulator flights. X-Plane 10 was chosen for its robust applications and accurate portrayal of dynamics on a vehicle in flight. The Suborbital Space Flight Simulator (SSFS) and Mission Control Center (MCC) were brought to the Applied Aviation Sciences department in fall 2015 at Embry-Riddle Aeronautical University, Daytona Beach campus. This academic and research tool is a department asset capable of providing multiple fields of data about suborbital simulated flights. …
Using Conversation Analysis In Data-Driven Aviation Training With Large-Scale Qualitative Datasets, William A. Tuccio Ph.D., Maurice Nevile Ph.D.
Using Conversation Analysis In Data-Driven Aviation Training With Large-Scale Qualitative Datasets, William A. Tuccio Ph.D., Maurice Nevile Ph.D.
Journal of Aviation/Aerospace Education & Research
This paper contributes to a growing body of work related to the Conversation Analytic Role-play Method (CARM) by studying the primary flight instruction environment to create training interventions related to radio communications and flight instruction practices. Framed in the context of conversation analysis, an approach to the detailed analysis of naturally occurring interaction, the large-scale, long-duration qualitative audio/video data collection and coding methodology is discussed, followed by trends identified in the ongoing study. The concept of CARM “trainables” are discussed with examples. The study shows that large-scale qualitative datasets may be leveraged to produce valuable data-driven training interventions.
The Value Of A Collegiate Far Part 141 Jeopardy-Crew Resource Management (Crm)-Simulation Event, Samuel M. Vance
The Value Of A Collegiate Far Part 141 Jeopardy-Crew Resource Management (Crm)-Simulation Event, Samuel M. Vance
Journal of Aviation/Aerospace Education & Research
This article explores the viability of using a FAR Part 141 collegiate crew resource management (CRM) flight simulator scenario event as a jeopardy event (a graded, syllabus item) in an upper-level professional pilot curriculum course. Ultimately, the objective is to suggest this approach as a value-added curriculum consideration for other collegiate professional pilot programs. The selection of four CRM criteria to be examined was made by the course professor. Using the four principles, the students assembled the grading rubric for their event. The simulator scenario placed students in airspace, geography and weather dissimilar to that in which they were training …