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AUTHOR(S): Ma. Theresa Dumdumaya
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ABSTRACT Effective communication between pilots and air traffic controllers (ATCOs) is critical for aviation safety and efficiency, especially in multilingual and high-pressure environments, where English is a global lingua franca. This literature review systematically examines the current state of Aviation English (AE) training programs, focusing on the persistent challenges in assessing Aviation English (AE) proficiency, the variability in training methodologies, and the emerging role of simulation and technology in enhancing communication competence. Drawing from scholarly sources published between 2010 and 2023, this study employed a systematic narrative review approach to identify thematic insights from peer-reviewed literature found in databases, such as Google Scholar, PubMed, IEEE Xplore, ResearchGate, and ScienceDirect. This review highlights the inadequacy of traditional paper-based assessments, inconsistent integration of linguistic and non-linguistic competencies, and promise of simulation-based learning and virtual reality in providing authentic, high-fidelity training environments. Furthermore, the analysis underscores the importance of understanding power dynamics, team communication, and technological ethics in Aviation English (AE) instruction. These findings demonstrate that a more standardized, research-informed, and technology-enhanced approach to Aviation English (AE) training is essential for mitigating miscommunication risks and fostering safer aviation operations. The study concludes with recommendations for future research directions and innovations in assessment and pedagogy for Aviation English (AE) programs. |
KEYWORDS Aviation English, Pilot–Controller Communication, Language Proficiency Assessment, Simulation-Based Training, Communication Safety in Aviation |
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Cite this paper Ma. Theresa Dumdumaya. (2025) A Systematic Review of Aviation English Training Programs and Their Role in Bridging Communication Gaps. International Journal of Education and Learning Systems, 10, 30-36 |
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