Evaluating Artificial Intelligence Language Tools in English Language Learning for Flight Attendant Learners

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Authors: QianYing Pu, Amelia Binti Allas, Khairul Azhar Jamaludin
Cited by: 0

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.

Fields of Study & Subjects

English Language Learning and Teaching EFL/ESL Teaching and Learning Artificial Intelligence in Education

Publication details

Journal / source
Journal of Educational Technology Development and Exchange
Volume
19
Issue
1
Pages
110–136
Publication date
1 January 2026
Language
EN