Book chapter
The Quality of Training Effectiveness Assessment (QTEA) Tool Applied to the Naval Aviation Training Context
Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, pp.640-649
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2009
DOI: 10.1007/978-3-642-02812-0_73
Abstract
Today, flight trainers use objective measures of task performance and additional estimated, subjective data to assess the cognitive workload and situation awareness of trainees. This data is very useful in training assessment but trainees can succeed at performing a task purely by accident (referred to as “miserable success”). Additionally the trainee can be in a less than optimal for learning cognitive state when the instructor operator applies brute force training tasks and methods with little regard to the learning curve which can result in the training being too easy or, more often, too difficult, thereby inducing negative learning. In order to provide the instructor with additional quantitative data on student performance, we have designed the Quality of Training Effectiveness Assessment (QTEA) concept. QTEA is conceived as a system that allows the trainer to assess a student in real-time using sensors that can quantify the cognitive and physiological workload.
Details
- Title: Subtitle
- The Quality of Training Effectiveness Assessment (QTEA) Tool Applied to the Naval Aviation Training Context
- Creators
- Tom SchnellRich Cornwall - Alion Science and TechnologyMelissa Walwanis - Naval Air Warfare Center Training Systems DivisionJeff Grubb - Naval Aerospace Medical Institute
- Resource Type
- Book chapter
- Publication Details
- Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, pp.640-649
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-642-02812-0_73
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2009
- Academic Unit
- Industrial and Systems Engineering; Mechanical Engineering; Electrical and Computer Engineering; Neurology; Occupational and Environmental Health; Public Policy Center (Archive)
- Record Identifier
- 9984187071402771
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