| | DECEMBER 202119CIOReviewbad habits are instilled. As an example, if a student skips a step on a preflight inspection, like spinning propeller blades for unobstructed movement, and then has a flight scenario (real or simulated) where the propeller blades malfunction, the teachable moment is evident; skipping steps, or taking shortcuts can yield disaster. Eye movements and scan patterns are a highly subjective point of instruction. A seasoned instructor understands a new learner has a poor scan pattern. AI would allow detailed evaluation and data to not only offer the learner with productive feedback but assist the instructor in opportunities to help the learning process. The instructor would have undisputable feedback for the learner to improve the outcome and reach the source of the errors immediately. We have observable cases where the causal driver of poor performance was a variable that a human would not be able to capture, but a machine is able to very rapidly root cause, review all available variables and determine those that were statistically significant drivers of the poor performance, and offer objective data to establish improvement areas. When experiencing flight training, it can be rewarding and valuable to be in a class with pilots of many different backgrounds, experience levels, and industries. Facilitated discussions can increase the value in learning at any level, including an instructor's. A learner's unique practical skill level and ability should guide a more challenging and rewarding lesson with tailored learning objectives based on specific desired outcomes of the company or agency which employ the learner. Instructors that can access real-time, comprehensive objective and subjective data, like aviation experience, UAS experiences, aircraft types, industry work, previous training events, and more, can tailor training scenarios to best challenge and evaluate the student to the highest standards. These captured data points and analytics will continue to feed the machine and provide objective evidence and evaluations of the student's performance, thereby differentiating the training experiences for future training events. Why are we interested in exploring this trend in algorithms, machine learning, and artificial intelligence? Every bit of data is important to training. If someone lacks sleep, hydration, nutrition, or experience, the training received is impacted. Data and analytics can increase training effectiveness and enhance safety through automated, intelligent, and objective training.Company Bio:FlightSafety International is the world's premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. Over 2,000 highly qualified instructors provide more than 1.4 million hours of training each year to pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world's largest fleet of advanced full-flight simulators at Learning Centers and training locations in the United States, Australia, Brazil, Canada, China, France, Hong Kong, India, Japan, the Netherlands, Norway, South Africa, and the United Kingdom. When experiencing flight training, it can be rewarding and valuable to be in a class with pilots of many different backgrounds, experience levels, and industriesJennifer BirdsongJennifer Birdsong
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