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p-Index From 2020 - 2025
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All Journal Englisia Journal Journal of English Language Teaching Innovations and Materials (Jeltim)
Vargheese, K.J.
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Education Languange, Linguistic, Communication & Media Other

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Fostering collaborative learning in ESP: AI-driven approaches integrating learning styles and multiple intelligences Asrifan, Andi; Oliveira de Barros Cardoso, Luís Miguel; Vargheese, K.J.
Englisia Journal Vol 12 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ej.v12i2.29330

Abstract

The growing demand for English for Specific Purposes (ESP) calls for innovative learning methodologies that address diverse cognitive profiles. However, traditional ESP education often overlooks individual learning styles and multiple intelligences. This study explores how AI can enhance collaborative ESP learning by accommodating varied learning preferences, asking: How can AI improve collaborative ESP training by adapting to diverse learning styles and intelligences? A mixed-methods experimental design involved 100 university students from Engineering, Medicine, and Business, divided into experimental and control groups. The experimental group received AI-supported collaborative ESP training tailored to their learning styles and intelligences, while the control group followed conventional methods. Results showed the experimental group demonstrated significantly higher motivation, engagement, learning outcomes, and improved communication and collaboration skills. These findings suggest that integrating AI with cognitive-based learning models enhances collaborative ESP environments through adaptive content delivery, dynamic grouping, and personalized feedback, fostering more inclusive and effective professional language learning.
Integrating Artificial Intelligence in ESP Curriculum: A Bilingual Approach to English for Educational Technology Asrifan, Andi; Oliveira de Barros Cardoso, Luís Miguel; Vargheese, K.J.
Journal of English Language Teaching Innovations and Materials (Jeltim) Vol 7, No 1 (2025): April 2025
Publisher : UPT Bahasa Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jeltim.v7i1.91274

Abstract

Artificial intelligence (AI) integration into language education has fundamentally changed English for Specific Purposes (ESP) training delivering adaptive learning, real-time feedback, and automated language assessment (AlTwijri Alghizzi, 2024; Sumarni et al., 2022). Especially in English for Educational Technology, AI systems can improve technical language competency and comprehension in bilingual ESP education. Though little study on AI's impact on multilingual learning environments, current studies mainly concentrate on monolingual AI-enhanced ESP education. Examining their impact on grammar accuracy, vocabulary learning, reading comprehension, and technical English communication, this paper looks at how well AI-powered tools fit a bilingual ESP program. The results show that student involvement and tailored learning results were much enhanced by artificial intelligence-driven learning analytics. Still, major issues include artificial intelligence bias, translation errors, and over-reliance on automated feedback. This study clarifies curriculum creation, AI tool choice, and pedagogical methodologies, as well as the benefits and constraints of artificial intelligence in bilingual ESP education. The findings imply that artificial intelligence should complement human education, guaranteeing contextually correct, ethical, and pedagogically sound integration rather than replacing human education. Long-term AI efficacy, developments in adaptive learning models, and ethical issues in AI-driven language instruction should all be investigated in next studies. How to cite this paper: Asrifan, A., Cardoso, L. M. O. de B., & Vargheese, K. J. (2025). Artificial intelligence in bilingual ESP: A mixed-methods study on English for educational technology. Journal of English Language Teaching Innovations and Materials, 7(1), 88-112. http://dx.doi.org/10.26418/jeltim.v7i1.91274
Co-Authors Asrifan, Andi Oliveira de Barros Cardoso, Luís Miguel Oliveira de Barros Cardoso, Luís Miguel