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Dissertation/Thesis Abstract

Effectiveness of training methods on near-term NextGen air traffic control performance, workload, and situation awareness
by Kiken, Ariana E. G., M.S., California State University, Long Beach, 2012, 99; 1517707
Abstract (Summary)

NextGen, a planned introduction of automated tools into the National Airspace System, is expected to change the roles and responsibilities of air traffic controllers (ATC). New methods must therefore be developed to train ATCs in the use of both current-day and NextGen tools. The present study compared Part-Whole and Whole-Task training methods for student ATCs in a mixed-equipage, near-term, NextGen environment. Participants were 15 students enrolled in a 14-week radar simulation internship. Participants were tested at a midterm and final testing session on 3 scenarios of differing NextGen equipages. Performance, situation awareness (SA), and workload variables were measured. Both methods of training led to improved performance, SA and workload between testing sessions; however few differences between Training Methods were found. Differences in Scenario Equipage and individual differences in skill level had a greater impact on the dependent measures. Recommendations for ATC training are made based on the results.

Indexing (document details)
Advisor: Strybel, Thomas Z.
School: California State University, Long Beach
School Location: United States -- California
Source: MAI 51/01M(E), Masters Abstracts International
Subjects: Psychology, Occupational psychology
Publication Number: 1517707
ISBN: 978-1-267-47068-3
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