Digital-Twin-Based Ecosystem for Aviation Maintenance Training
The increasing complexity of aircraft systems and the growing global demand for certified maintenance personnel necessitate a fundamental shift in aviation training methodologies. This paper proposes a comprehensive digital-twin-based training ecosystem tailored for aviation maintenance education. T...
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MDPI AG
2025-07-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/16/7/586 |
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| author | Igor Kabashkin |
| author_facet | Igor Kabashkin |
| author_sort | Igor Kabashkin |
| collection | DOAJ |
| description | The increasing complexity of aircraft systems and the growing global demand for certified maintenance personnel necessitate a fundamental shift in aviation training methodologies. This paper proposes a comprehensive digital-twin-based training ecosystem tailored for aviation maintenance education. The system integrates three core digital twin models: the learner digital twin, which continuously reflects individual trainee competence; the ideal competence twin, which encodes regulatory skill benchmarks; and the learning ecosystem twin, a stratified repository of instructional resources. These components are orchestrated through a real-time adaptive engine that performs multi-dimensional competence gap analysis and dynamically matches learners with appropriate training content based on gap severity, Bloom’s taxonomy level, and content fidelity. The system architecture uses a cloud–edge hybrid model to ensure scalable, secure, and latency-sensitive delivery of training assets, ranging from computer-based training modules to high-fidelity operational simulations. Simulation results confirm the system’s ability to personalize instruction, accelerate competence development, and support continuous regulatory readiness by enabling closed-loop, adaptive, and evidence-based training pathways in digitally enriched environments. |
| format | Article |
| id | doaj-art-cf9adb4b6b604ca4a88a7d4d7d769efb |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-cf9adb4b6b604ca4a88a7d4d7d769efb2025-08-20T03:58:26ZengMDPI AGInformation2078-24892025-07-0116758610.3390/info16070586Digital-Twin-Based Ecosystem for Aviation Maintenance TrainingIgor Kabashkin0Engineering Faculty, Transport and Telecommunication Institute, Lauvas 2, LV-1019 Riga, LatviaThe increasing complexity of aircraft systems and the growing global demand for certified maintenance personnel necessitate a fundamental shift in aviation training methodologies. This paper proposes a comprehensive digital-twin-based training ecosystem tailored for aviation maintenance education. The system integrates three core digital twin models: the learner digital twin, which continuously reflects individual trainee competence; the ideal competence twin, which encodes regulatory skill benchmarks; and the learning ecosystem twin, a stratified repository of instructional resources. These components are orchestrated through a real-time adaptive engine that performs multi-dimensional competence gap analysis and dynamically matches learners with appropriate training content based on gap severity, Bloom’s taxonomy level, and content fidelity. The system architecture uses a cloud–edge hybrid model to ensure scalable, secure, and latency-sensitive delivery of training assets, ranging from computer-based training modules to high-fidelity operational simulations. Simulation results confirm the system’s ability to personalize instruction, accelerate competence development, and support continuous regulatory readiness by enabling closed-loop, adaptive, and evidence-based training pathways in digitally enriched environments.https://www.mdpi.com/2078-2489/16/7/586digital twinaviation maintenance traininglearning orchestrationsimulation-based educationcloud–edge architectureimmersive learning systems |
| spellingShingle | Igor Kabashkin Digital-Twin-Based Ecosystem for Aviation Maintenance Training Information digital twin aviation maintenance training learning orchestration simulation-based education cloud–edge architecture immersive learning systems |
| title | Digital-Twin-Based Ecosystem for Aviation Maintenance Training |
| title_full | Digital-Twin-Based Ecosystem for Aviation Maintenance Training |
| title_fullStr | Digital-Twin-Based Ecosystem for Aviation Maintenance Training |
| title_full_unstemmed | Digital-Twin-Based Ecosystem for Aviation Maintenance Training |
| title_short | Digital-Twin-Based Ecosystem for Aviation Maintenance Training |
| title_sort | digital twin based ecosystem for aviation maintenance training |
| topic | digital twin aviation maintenance training learning orchestration simulation-based education cloud–edge architecture immersive learning systems |
| url | https://www.mdpi.com/2078-2489/16/7/586 |
| work_keys_str_mv | AT igorkabashkin digitaltwinbasedecosystemforaviationmaintenancetraining |