Unlocking the Potential of AI-Enhanced Mixed Reality: Enhancing Technical English Proficiency for Engineering Students in the Gulf Region

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.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Arab World English Journal<br>License: <a href="creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank" rel="noreferrer noopener">h</a><a href="creativecommons.org/licenses/by-nc-nd/4.0/" target="_blank" rel="noreferrer noopener">ttps://creativecommons.org/licenses/by-nc-nd/4.0/</a><br>See article on publisher's website: <a href="dx.doi.org/10.24093/awej/vol16no4.10" target="_blank">dx.doi.org/10.24093/awej/vol16no4.10</a></p>