Using Virtual Aerodrome to Teach Aircraft Maintenance at Indiana Aerospace University
Virtual aerodromes are a simulated training environment designed to enhance practical skills in aerodrome operations through realistic activities and tools. This study evaluates its effectiveness as an immersive teaching method for Aircraft Maintenance and Technology (AMT) students at Indiana Aerospace University, focusing on improving competency, skill development, and assessment performance. A mixed-method approach was utilized, combining quantitative statistical analysis with qualitative feedback. The sample included 50 AMT students. Data was gathered using researcher-designed survey questionnaires and interview schedules. Statistical tools such as weighted mean, ranking, and frequency analysis were applied, using a 5-point Likert scale. Findings indicated that the virtual aerodrome significantly enhanced student proficiency, demonstrating a strong correlation between simulation-based training and improved operational skills. However, challenges were identified, including limited simulation realism and insufficient feedback mechanisms. In response, the study proposes an action plan involving collaboration with industry experts for curriculum enhancement, improved feedback systems, integration of realistic aircraft system simulations, scenario-based modules, and the inclusion of additional field experts to foster critical thinking. These recommendations aim to optimize the virtual training environment and better prepare students for real-world aircraft maintenance operations.
Authors
- Eugene Toring
- Jhoselle Tus (ORCID: https://orcid.org/0000-0003-4126-3918)
- Kimberly Toring
- Carlos Jericho Cavite
- Glenn Dongallo
- Angeline Quiliope
- Ron Andrew Taghap
- Kenneth Joseph Banadera
- Matthew Gocotano
- Rex Nino Imbong
- Joeylito Suico
- Russley Jerome Bugas
Publication Details
- Journal
- Journal of Advanced Studies in Aviation Aerospace and Management
- Published
- 2025-05-29
- DOI
- https://doi.org/10.70838/jasaam.010202
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00