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Determinants of Aviation Students’ Intentions to Use Virtual Reality for Flight Training
PI Stephanie Fussell, Ph.D.
CO-I Dothang Truong
The goal of this research was to determine the factors that influence aviation students’ intention to use VR for flight training. An extended Technology Acceptance Model (TAM) was developed that incorporates elements of the Theory of Planned Behavior (TPB); factors derived from relevant, validated extended TAMs; and new factors that are theorized to impact use intention. These factors are related to aviation education, the use of VR technology in training environments, and using VR for flight training. The new model may explain flight students’ acceptance of VR for flight training as well as their intent to use the technology. A quantitative research method with a cross-sectional survey design was utilized. Descriptive statistical analysis, a confirmatory factor analysis (CFA), and a structural equation modeling (SEM) process were employed. Data were collected from aviation students enrolled in FAA-approved Part 141 pilot schools in early 2020 using a survey design. Results indicated a good model fit to answer the three research questions of the study. There were 14 hypotheses in the original model. Although one was removed, an additional relationship was discovered, validated, and added to the model. Nine of the hypotheses were supported. Eight of the nine predictor factors of the model were determined to directly or indirectly impact behavioral intention (BI). The original TAM factors had the strongest relationships. Relationships between factors particularly relevant to VR technology and aviation training were also supported.
Read moreCategories: Graduate
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