THE STRATEGIC ROLE OF ARTIFICIAL INTELLIGENCE IN DEVELOPING COMMUNICATIVE COMPETENCE AMONG TOURISM ESP STUDENTS
Abstract
The rapid digitalization of the tourism industry necessitates a high level of oral English proficiency, yet traditional classroom settings often fail to provide the necessary individual practice for students. This paper explores how Artificial Intelligence (AI) platforms, particularly Automated Speech Recognition (ASR) and conversational models, can be integrated into English for Specific Purposes (ESP) curricula to bridge this gap. Grounded in the Interaction Hypothesis and the Affective Filter Hypothesis, the study analyzes how AI facilitates a stress-free environment for linguistic rehearsal. Preliminary observations at International Nordic University indicate that students engaging with AI-mediated tools show a marked increase in response length, speaking confidence, and lexical retrieval. The research emphasizes a blended learning approach, suggesting that AI should serve as a scaffold rather than a replacement for human instructors.
References
1. Golonka, E. M., et al. (2014). Technologies for foreign language learning: A review of technology types and their effectiveness. Computer Assisted Language Learning, 27(1), 70-105.
2. Hockly, N. (2023). Artificial Intelligence in English Language Teaching. Cambridge University Press.
3. Krashen, S. D. (1982). Principles and Practice in Second Language Acquisition. Pergamon Press.
4. Kruk, M. (2021). The use of chatbot technology in foreign language learning: What matters for student engagement? International Journal of Computer-Assisted Language Learning and Teaching, 11(3).
5. Long, M. H. (1996). The role of the linguistic environment in second language acquisition. In W. C. Ritchie & T. K. Bhatia (Eds.), Handbook of second language acquisition. Academic Press.
6. UNESCO (2023). Guidance for generative AI in education and research.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Naimaxon Madaminova
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Litsenziya shartlari
Bu ish Creative Commons Attribution-NoCommercial 4.0 xalqaro litsenziyasi ostida litsenziyalangan. Ushbu litsenziya nusxasini koʻrish uchun http://creativecommons.org/licenses/by-nc/4.0/ saytiga tashrif buyuring yoki Creative Commons, PO Box 1866, Mountain View, CA 94042, AQShga xat yuboring.
Ushbu litsenziyaga muvofiq, siz:
Ulashish — materialni istalgan vosita yoki formatda nusxalash va qayta tarqatish
Moslashtiring - remiks qiling, o'zgartiring va materialga asoslang
Litsenziya shartlariga rioya qilgan holda litsenziar ushbu erkinliklarni bekor qila olmaydi. Quyidagi shartlar asosida:
Atribut - Siz tegishli kredit berishingiz, litsenziyaga havolani taqdim etishingiz va o'zgartirishlar kiritilganligini ko'rsatishingiz kerak. Siz buni har qanday oqilona yo'l bilan qilishingiz mumkin, lekin litsenziar sizni yoki sizning foydalanishingizni ma'qullashini taklif qiladigan tarzda emas.
Notijorat - Siz materialdan tijorat maqsadlarida foydalana olmaysiz.
Hech qanday qo'shimcha cheklovlar yo'q - Siz boshqalarga litsenziya ruxsat bergan har qanday harakatni qonuniy ravishda cheklaydigan qonuniy shartlar yoki texnologik choralarni qo'llay olmaysiz.
