Accession Number:

AD1131027

Title:

An Examination of Potential Training Regression Recognition Algorithms for Pilot Training Next

Descriptive Note:

[Technical Report, Master's Thesis]

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH

Personal Author(s):

Report Date:

2021-03-01

Pagination or Media Count:

51

Abstract:

The initiative to reduce the Air Forces serious pilot shortage lead to the Pilot Training Next PTN program. Under PTN, student pilots progress at an individual rate while making increased use of simulator-based training resources. A previous thesis used data from the first PTN class to conceptualize and prototype a student training flight scheduler. This scheduler did not consider training events required to bring students back to achieved levels of performance if in fact that student performance had regressed. This thesis examines three classes of PTN student data to determine whether student regression in training progression can be detected. A visual and two machine learning-based methods are examined and found to not predict training regression in PTN student pilots.

Subject Categories:

Distribution Statement:

[A, Approved For Public Release]