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Real-Time Language Immersion Training Using Extended Reality Environments

R. AhilaNew Prince Shri Bhavani College of Engineering and Technology,Department of CSE,Chennai,Tamilnadu,India,600073Montader M. HasanCollege of technical engineering, The Islamic University,Department of computers Techniques engineering,Najaf,IraqDeepak TiwariKalinga University,Department of Commerce,Raipur,IndiaY.Devi PriyaGodavari Global University,Department of Computer Science and Engineering,Rajamahendravaram,Andhra Pradesh,533296D. Jebakumar ImmanuelKarpagam Institute of Technology,Department of Artificial Intelligence and Data science,Coimbatore,641105U. A. HamdamovTashkent State University of Uzbek Language and Literature named after Alisher Navoi,Tashkent,UzbekistanYuldashev Ulugbek Vokhidjon UgliTuran International University,Faculty of Humanities & Pedagogy,Namangan
2025
ABI

Annotatsiya

Traditional language learning typically does not include real time interactive aspect and are usually limited by pre-existing curricula, artificial nature of the learning experience and the absence of addictive learning. These restrictions deny the learners all the opportunity to engage in culture and contextual peculiarities required in language learning. In order to address those challenges, the paper will introduce a different concept of Extended Reality (XR)-based language learning immersion system embracing the concept of cross-modal shift, AI-bio integration and bio feedback to the learning process of immersion where AI created scenario generation will designerly gradually transform into the immersion environment in AR, VR and MR. The proposed solution will allow a natural and personalized real-time learning as opposed to the more traditional usage of XR that are typically grounded in the script and in a pre-recorded environment, relying on this aspect as highly reactive to both emotion condition and performance, as well as linguistic situation. Self learning capability of the system contributes towards the adaptation of interactive scenarios with real time biometric information; eye-tracking, pulse or speech pattern, as long as the learners are not bored or overwhelmed. It equally makes both the augmented and virtual worlds to be fluid and even re-creates real-life communication contexts of a casual conversation to a formal negotiation. It was an assessment that was being conducted among 150 learners, having a diversity of language and culture background. The findings demonstrate an array of much more applicable exertions to the levels of participation of the learners, prior concentration of language, circumstantial cognition and degree of user contentment, relative to both the conventional classroom training lessons, coupled with the existing XR platforms. A qualitative feedback laid down stress in the successfulness of the system in building confidence, fluency and cultural responsiveness. The current research suggests that the projected XR platform can design an innovative and scalable XR language education framework. To a significant extent, it has some implications to change the paradigm regarding teaching and learning languages in particular those cases when they need more interactivity, flexibility and cultural authenticity.

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