Designing an AI-Integrated ESP Course for Flight Attendant Students in China : A Needs Analysis-Based Approach

Zhou, Yan and Soo, Ruey Shing (2025) Designing an AI-Integrated ESP Course for Flight Attendant Students in China : A Needs Analysis-Based Approach. Journal of Information Systems Engineering and Management, 10 (39s). pp. 179-184. ISSN 2468-4376

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Abstract

English for Specific Purposes (ESP) plays a pivotal role in flight attendant training, particularly within China’ s vocational education system. However, designing an effective ESP curriculum that meets industry demands remains a significant challenge. This study investigates flight attendant students target needs and their perceptions of AI-integrated ESP instruction. Data were collected from 184 flight attendant students and 4 ESP teachers at a Chinese vocational university through mixed-methods research (questionnaires and interviews). The result revealed that speaking is the core skill and strong student receptiveness toward AI-enhanced learning tools. These insights inform the development of an AI-enhanced ESP curriculum tailored to aviation professionals' communicative requirements.

Item Type: Article
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: Artificial intelligence learning, ESP teaching, needs analysis, flight attendant.
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
L Education > LB Theory and practice of education > LB2361 Curriculum
P Language and Literature > PE English
Divisions: Academic Faculties, Institutes and Centres > Faculty of Education, Language and Communication
Depositing User: Shing
Date Deposited: 28 Apr 2025 01:05
Last Modified: 29 Apr 2025 02:35
URI: http://ir.unimas.my/id/eprint/48048

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