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Evaluating Virtual Reality and Artificial Intelligence as Solutions for Delayed Flight Progress in Aviation Pilot Training.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evaluating Virtual Reality and Artificial Intelligence as Solutions for Delayed Flight Progress in Aviation Pilot Training./
Author:	Guthridge, Ryan Paul.
Description:	1 online resource (119 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Contained By:	Dissertations Abstracts International84-04B.
Subject:	Educational technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29322507click for full text (PQDT)
ISBN:	9798845415882

Evaluating Virtual Reality and Artificial Intelligence as Solutions for Delayed Flight Progress in Aviation Pilot Training.
Guthridge, Ryan Paul.

Evaluating Virtual Reality and Artificial Intelligence as Solutions for Delayed Flight Progress in Aviation Pilot Training. - 1 online resource (119 pages)

Source: Dissertations Abstracts International, Volume: 84-04, Section: B.

Thesis (Ph.D.)--The University of North Dakota, 2022.

Includes bibliographical references

Three studies in this dissertation examined a topic centered around delayed flight progress in aviation pilot training. Study one explored the impact of nonconcurrent flight laboratory training on the academic outcomes of collegiate aviation students, while studies two and three explored virtual reality and artificial intelligence as potential solutions to help alleviate the strain of delayed flight progress on the flight training organization. In the first study (n = 144), it was found that concurrent enrollment in an aviation classroom ground course and flight training laboratory positively impacts the mean academic block exam scores of students. In study two (n = 120), virtual reality was shown to be an effective training technology in the quantitative measure of pilot performance, as well as the qualitative measures of acceptance and adoption of the technology. Finally, the third study (n = 37) showed that an artificial intelligence-based flight instructor performs comparably to a human flight instructor, when transferring a student pilot's skills from the simulator to the aircraft. Findings from each of these studies are valuable for flight training organizations looking to find ways of better preparing their student pilots and supplementing the strain of reduced flight instructor staffing within the organization.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845415882Subjects--Topical Terms:

517670
Educational technology.
Subjects--Index Terms:

AviationIndex Terms--Genre/Form:

542853
Electronic books.

Evaluating Virtual Reality and Artificial Intelligence as Solutions for Delayed Flight Progress in Aviation Pilot Training.
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245 1 0 $a Evaluating Virtual Reality and Artificial Intelligence as Solutions for Delayed Flight Progress in Aviation Pilot Training.
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500 $a Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
500 $a Advisor: Clinton-Lisell, Virginia.
502 $a Thesis (Ph.D.)--The University of North Dakota, 2022.
504 $a Includes bibliographical references
520 $a Three studies in this dissertation examined a topic centered around delayed flight progress in aviation pilot training. Study one explored the impact of nonconcurrent flight laboratory training on the academic outcomes of collegiate aviation students, while studies two and three explored virtual reality and artificial intelligence as potential solutions to help alleviate the strain of delayed flight progress on the flight training organization. In the first study (n = 144), it was found that concurrent enrollment in an aviation classroom ground course and flight training laboratory positively impacts the mean academic block exam scores of students. In study two (n = 120), virtual reality was shown to be an effective training technology in the quantitative measure of pilot performance, as well as the qualitative measures of acceptance and adoption of the technology. Finally, the third study (n = 37) showed that an artificial intelligence-based flight instructor performs comparably to a human flight instructor, when transferring a student pilot's skills from the simulator to the aircraft. Findings from each of these studies are valuable for flight training organizations looking to find ways of better preparing their student pilots and supplementing the strain of reduced flight instructor staffing within the organization.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Educational technology. $3 517670
650 4 $a Instructional design. $3 3172279
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653 $a Flight simulators
653 $a Flight training
653 $a Virtual reality
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773 0 $t Dissertations Abstracts International $g 84-04B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29322507 $z click for full text (PQDT)