Abstract
This study analyzes AI language tools aiding English learning for aspiring flight attendants, focusing on fluency, pronunciation, and communication skills. Considering the aviation industry’s very high language requirements, this research examines how AI language tools help flight attendants master English and improve their speech and pronunciation. A qualitative descriptive design using semi-structured interviews was adopted for the present study with flight attendants and aviation English educators. The study highlights major themes such as Increased Confidence through Repetition and Feedback, Pronunciation Improvement Enabled by an AI-specific feature, Pedagogical Gaps and Instructor Apathy, and Limitations in Contextual Appropriateness. This study concludes that AI tools can enhance aviation English learning when adapted to the context and supported by trained teachers. It is recommended that AI language tools be adapted for aviation-specific scenarios and that instructors receive targeted professional development to integrate these tools effectively.
First Page
110
Last Page
136
Ethics Approval
Yes
Declaration Statement
The study protocol was reviewed and adjudicated by the Universiti Kebangsaan Malaysia research ethics committee, which concluded that there were no ethically relevant risks involved in the study and granted an ethical clearance waiver.
Recommended Citation
Pu, Q., Alias, A., & Jamaludin, K. (2026). Evaluating artificial intelligence language tools in English language learning for flight attendant learners. Journal of Educational Technology Development and Exchange (JETDE), 19(1), 110-136. https://doi.org/10.18785/jetde.1901.06
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