Immersive learning: A virtual reality teaching model for enhancing english speaking skills
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.22Keywords:
Virtual reality, English speaking skills, Immersive learning, Interactive environments, Educational technology.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Speaking abilities are an essential component of communicating effectively and expressing oneself personally. They are significant in various contexts, such as social, professional, and intellectual. In addition to establishing stronger interpersonal relationships, improving confidence, and contributing to success in collaborative contexts, proficient in speaking can present their views clearly and concisely, participate in meaningful conversations, and convince others. It is necessary to have good speaking abilities to communicate effectively across cultural boundaries and develop one’s profession in today’s globalized society. An innovative virtual reality (VR) teaching paradigm is presented in this study to enhance the English-speaking abilities of students who are enrolled in professional programs. This virtual reality (VR) model mimics actual communication settings by immersing students in realistic and engaging worlds. This model also allows students to engage in active practice, receive quick feedback, and feel emotionally engaged. This paradigm emphasizes individualized, context-based conversation practice to enhance fluency, pronunciation, and self-assurance in speaking languages.Abstract
How to Cite
Downloads
Similar Articles
- Rianka Sarkar, Shedol shutki: The diminishing cultural art of fish preservation from erstwhile East Bengal , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- M. Ragul, A. Aloysius, V. Arul Kumar, Enhancing IoT blockchain scalability through the eepos consensus algorithm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- K. Kalaiselvi, M. Kasthuri, Tuning VGG19 hyperparameters for improved pneumonia classification , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- V. Babydeepa, K. Sindhu, Piecewise adaptive weighted smoothing-based multivariate rosenthal correlative target projection for lung and uterus cancer prediction with big data , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Shaik Abdulla P., Abdul Razak T., Retrieval-Based Inception V3-Net Algorithm and Invariant Data Classification using Enhanced Deep Belief Networks for Content-Based Image Retrieval , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- R. Mercy, T. Lucia Agnes Beena, CATSEM: A Climate-Aware Time-Series Ensemble Model for Enhanced Paddy Yield Prediction , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Reshmi J S, Sandhya S, Ahir embroidery of Kutch , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Olivia C. Gold, Jayasimman Lawrence, Ensemble of CatBoost and neural networks with hybrid feature selection for enhanced heart disease prediction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Farheen Najma B, Faseeha Begum, Resistance to digital banking by senior citizens in India - A review , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Indraji C, Dominic J, Access of web OPAC through library automation in university libraries in Tamil Nadu: A study , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
<< < 21 22 23 24 25 26 27 28 29 30 > >>
You may also start an advanced similarity search for this article.

