EMERGING TREND IN TEACHING ENGLISH FOR SPECIFIC PORPOUSE: A CASE STUDY OF ChatGPT
Monica Ariana Sim (),
Anamaria Mirabela Pop (),
Amalia Sturza () and
Simona-Veronica Caciora ()
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Monica Ariana Sim: Department of International Business, Faculty of Economic Sciences, University of Oradea, Oradea, Romania
Anamaria Mirabela Pop: Department of International Business, Faculty of Economic Sciences, University of Oradea,
Amalia Sturza: Faculty of Architecture, Cadastre and Construction, University of Oradea
Simona-Veronica Caciora: Faculty of Electrical Engineering and Information Technology, University of Oradea
Oradea Journal of Business and Economics, 2025, vol. 10, issue 1, 134-142
Abstract:
This paper examines the transformative impact of Artificial Intelligence (AI) on the field of English for Specific Purposes (ESP), with a particular emphasis on Business English. The study is constructed around whether AI will redefine teaching methodologies and enhance the effectiveness of ESP instruction. Focusing on a Business English course at the Faculty of Economic Sciences, University of Oradea, the study compares the effectiveness of AI-powered tools with traditional teaching methods. The paper explores both the benefits and challenges of incorporating AI technologies, highlighting ChatGPT as a key innovation in the ESP teaching process. It discusses the advantages of using AI, while also addressing potential obstacles, such as accessibility concerns, the need for AI systems to accurately interpret specialized terminology, and the reliance on technology, which may impact conventional teaching approaches. Additionally, the paper presents practical examples of AI-generated exercises tailored to Business English, showcasing the ability of AI to provide true-to-life adapted situations that enhance the learning experience. Finally, the paper tries to offer insights into future trends in language education and the evolving role of AI in shaping the landscape of ESP, particularly in Business English
Keywords: AI; ESP; teaching; ChatGPT; advantages; challenges (search for similar items in EconPapers)
JEL-codes: F12 J11 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ora:jrojbe:v:10:y:2025:i:1:p:134-142
DOI: 10.47535/1991ojbe211
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