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Arab World English Journal (AWEJ) Volume 16. Number 4, December 2025 Pp.185-195
Foundation Program Unit, University of Doha for Science and Technology, Qatar.
English Language Institute, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
This study examines the influence of artificial intelligence (AI) augmented mixed reality (MR) technologies on the enhancement of technical English proficiency among engineering students in the Gulf countries. The main aim of the research is to explore how the gap between foreign language learning and domain-specific technical knowledge can be reduced by integrating the immersive and adaptive MR environments with AI. The mixed method design was used to evaluate the effectiveness of AI-enhanced MR technologies in a 12-week course. The sample size consists of 300 students from the Gulf region. The treatment group used AI-enhanced MR technologies, which simulated real-life engineering scenarios to facilitate content-based English learning. The quantitative data from the pre-and post-tests revealed higher proficiency with the mean score of 72.5 to 80.3 that shows a medium-to-large statistically significant improvement. The qualitative data indicated enhanced engagement, confidence, and understanding of technical vocabulary. The study’s results suggest that AI-driven MR applications provide an practical pedagogical approach for advancing English for Specific Purposes (ESP), particularly within a Science, Technology, Engineering, and Mathematics (STEM) setting. Technical issues, usability problems, and misalignment with culture were highlighted as challenges. Improving the technical support and cultural appropriateness of the content would address these challenges. The study’s significance is shown through its contribution to practical pedagogical strategies by combining AI and MR for ESP instruction in the engineering context. It also reflects that these technologies can be effective in other fields.
Rehman, S.U., Khatoon, R., & Khan, I.A. (2025). Unlocking the Potential of AI-Enhanced Mixed Reality: Enhancing Technical English Proficiency for Engineering Students in the Gulf Region. Arab World English Journal, 16(4): 185-195
Aguayo, C., & Eames, C. (2023). Using mixed reality (XR) immersive learning to enhance environmental education. The Journal of Environmental Education, 54(1), 58–71. https://doi.org/10.1080/00958964.2022.2152410
Ai, Z. (2024). Challenges faced by English education in ethical minority areas under the background of Bilingual Education Policy for ethical minority students: Taking Yunnan Province as an example. Transactions on Social Science, Education and Humanities Research, 5, 319–324. https://doi.org/10.62051/m83s2d29
Aljuaid, H. (2024). The Impact of Artificial Intelligence Tools on Academic Writing Instruction in Higher Education: A Systematic Review. Arab World English Journal, 1(1), 26–55. https://doi.org/10.24093/awej/ChatGPT.2
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Celik, B., & Kara, S. (2024). Reaping the fruits of technology-integrated grammar instruction in EFL classes at the tertiary level through web 2.0 tools. Novitas-ROYAL (Research on Youth and Language), 18(1), 18–36. https://doi.org/10.5281/zenodo.10973103
Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning. Educational Technology & Society, 24(1), 205-222. https://www.jstor.org/stable/26977868
Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. SAGE Publications, Incorporated.
Divekar, R. R., Drozdal, J., Chabot, S., Zhou, Y., Su, H., Chen, Y., Zhu, H., Hendler, J. A., & Braasch, J. (2021b). Foreign language acquisition via artificial intelligence and extended reality: design and evaluation. Computer Assisted Language Learning, 35(9), 2332–2360. https://doi.org/10.1080/09588221.2021.1879162
Gil-López, C., Guixeres, J., Marín-Morales, J., Torrecilla, C., Williams, E., & Alcañiz, M. (2023c). Is mixed reality technology an effective tool for retail? A vividness and interaction perspective. Frontiers in Virtual Reality, 4.10.3389 https://doi.org/10.3389/frvir.2023.1067932
Hemphill, S., Rodriguez, S., Wang, E., Koeppen, K., Aitken-Young, B., Jackson, C., Simons, L., & Caruso, T. J. (2021b). Virtual reality augments movement during physical therapy. American Journal of Physical Medicine & Rehabilitation, 101(3), 229–236. https://doi.org/10.1097/phm.0000000000001779
Hong, X., & Guo, L. (2025). Effects of AI-enhanced multi-display language teaching systems on learning motivation, cognitive load management, and learner autonomy. Education and Information Technologies 30(12), 17155–17189 (2025). https://doi.org/10.1007/s10639-025-13472-1
Issa Ahmad AlSaleem, B. (2023). The efficiency of metaverse platforms in language learning based on Jordanian young learners’ perceptions. Arab World English Journal, 14(1), 334–348. https://doi.org/10.24093/awej/vol14no1.21
Khodabandeh, F., Bagheri, A., & Mobarakeh, M. I. (2025b). Augmented reality’s role in EFL learning: enhancing language skills in clothing and style through flipped and blended methods. Virtual Reality, 29(2),90. https://doi.org/10.1007/s10055-025-01151-y
Kim, S. J. (2023). Virtual fashion experiences in virtual reality fashion show spaces. Frontiers in Psychology, 14, 1276856. https://doi.org/10.3389/fpsyg.2023.1276856
Kumar, H., Gupta, P., & Chauhan, S. (2022). Meta-analysis of augmented reality marketing. Marketing Intelligence & Planning, 41(1), 110–123. https://doi.org/10.1108/mip-06-2022-0221
Luan, F., Qu, B., & Pan, X. (2020). Human-machine integration interactive system based on mixed reality technology. Journal of Physics Conference Series, 1549(2), 022128. https://doi.org/10.1088/1742-6596/1549/2/022128
Parmaxi, A., & Demetriou, A. A. (2020). Augmented reality in language learning: A state‐of‐the‐art review of 2014–2019. Journal of Computer Assisted Learning, 36(6), 861–875. https://doi.org/10.1111/jcal.12486
Ramadan Elbaioumi Shaddad, A., & Jember, B. (2024). A step toward effective language learning: an insight into the impacts of feedback-supported tasks and peer-work activities on learners’ engagement, self-esteem, and language growth. Asian-Pacific Journal of Second and Foreign Language Education, 9(1),39. https://doi.org/10.1186/s40862-024-00261-5
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025). AI‐driven adaptive learning for sustainable educational transformation. Sustainable Development, 33(2), 1921-1947. https://doi.org/10.1002/sd.3221
Syahrin, S., & Akmal, N. (2024). Navigating the Artificial Intelligence frontier: Perceptions of instructors, students, and administrative staff on the role of artificial intelligence in education in the Sultanate of Oman. Arab World English Journal, 1(1), 73–89. https://doi.org/10.24093/awej/chatgpt.4
Taşdemir, F., Atalay, E., & Çelikpazu, E. E. (2025). Development of the Grammar Learning Awareness Scale. Frontiers in Education, 9, 1480823. https://doi.org/10.3389/feduc.2024.1480823
van Nooijen, C. C. A., De Koning, B. B., Bramer, W. M., Isahakyan, A., Asoodar, M., Kok, E., Van Merrienboer, J. J. G., & Paas, F. (2024). A Cognitive Load Theory Approach to Understanding Expert Scaffolding of Visual Problem-Solving Tasks: A Scoping review. Educational Psychology Review, 36(1), 12. https://doi.org/10.1007/s10648-024-09848-3
Yannier, N., Hudson, S. E., Chang, H., & Koedinger, K. R. (2024). AI adaptivity in a Mixed-Reality system improves learning. International Journal of Artificial Intelligence in Education, 34(4), 1541–1558. https://doi.org/10.1007/s40593-023-00388-5
Dr. Shafiq ur Rehman holds a Ph.D. in Applied Linguistics and TESOL with 17 years of experience in EFL teaching and academic leadership. He currently works at the University of Doha for Science & Technology, Qatar. His research interests include EdTech, language policy, EMI, and ESP. http://orcid.org/0000-0002-0412-4129
Dr. Rabia Khatoon holds a Ph.D. in Applied Linguistics and multiple teaching certifications. She works at King Abdulaziz University. Her research interests include writing instruction, language pedagogy, and the use of technologies in language teaching. https://orcid.org/0009-0001-7471-233X
Dr. Intakhab Alam Khan is a professor at King Abdulaziz University and holds over 27 years of experience in education, ESP, and curriculum development. He has authored 18 books and over 75 papers and led several funded research projects at various universities. https://orcid.org/0000-0001-7058-2200