Kusumaningrum, Maria Asumpta Deny and Yulina, Christina Atika (2026) Artificial intelligence as a means to enhance speaking competence: pedagogical or trend? EDUTECH: Jurnal Inovasi Pendidikan Berbantuan Teknologi, 6 (1). pp. 194-205. ISSN 2774-6283
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Abstract
Oral proficiency in Aviation English is essential for operational safety; however, speaking instruction in aviation programs is often constrained by limited time, large classes, and learner anxiety, resulting in reduced opportunities for practice and feedback. This study examined the role of Artificial Intelligence (AI) as a pedagogical solution to enhance Aviation English speaking skills. Employing a mixed-methods quasi-experimental pretest–posttest control group design, the study involved first-semester students of the Aerospace Engineering Study Program at Institut Teknologi Dirgantara Adisutjipto enrolled in Bahasa Inggris Teknik I. A total of 90 students were assigned to an experimental group (n = 49) and a control group (n = 41). Both groups received identical classroom instruction; however, the experimental group practiced scenario-based aviation dialogues using AI with automatic speech recognition and immediate feedback, while the control group engaged in conventional role-plays. Data were collected through speaking performance tests, perception questionnaires, AI learning logs, and semistructured interviews. Results indicated equivalent baseline proficiency, but significantly greater speaking gains in the experimental group (M = +9.6 vs. +3.4; p < .001; d = 0.85), particularly in pronunciation and fluency. These findings confirm that AI-assisted practice effectively enhances Aviation English speaking when integrated with authentic tasks and guided instructor support
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Artificial intelligence, aviation English, speaking skills |
| Subjects: | English Education English Education > PE English |
| Divisions: | Journal Publication |
| Depositing User: | Christina Atika Yulina |
| Date Deposited: | 12 Feb 2026 06:33 |
| Last Modified: | 12 Feb 2026 07:34 |
| URI: | https://repositori.ukwms.ac.id/id/eprint/46250 |
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