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
- R. Porselvi, D. Kanchana, Beulah Jackson, L. Vigneash, Dynamic resource management for 6G vehicular networks: CORA-6G offloading and allocation strategies , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Rajesh Kumar Singh, Abhishek Kumar Mishra, Ramapati Mishra, Hand Gesture Identification for Improving Accuracy Using Convolutional Neural Network(CNN) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Gunjan Choudhary, Anupriya Roy Srivastava, Examining identity crisis in Samina Ali’s Madras on Rainy Days , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Muhammed Jouhar K. K., Dr. K. Aravinthan, An improved social media behavioral analysis using deep learning techniques , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Deepa Ramachandran VR VR, Kamalraj N, Hybrid deep segmentation architecture using dual attention U-Net and Mask-RCNN for accurate detection of pests, diseases, and weeds in crops , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- D. Padma Prabha, C. Victoria Priscilla, A combined framework based on LSTM autoencoder and XGBoost with adaptive threshold classification for credit card fraud detection , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- A. Jabeen, A. R. M. Shanavas, Hazard regressive multipoint elitist spiral search optimization for resource efficient task scheduling in cloud computing , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- ATANU BHATTACHARYYA, P. S. DATTA, ASIM BHAUMIK, SHASHIDHAR VIRAKTAMATH, MORSHED U. CHOWDHURY, RAJENDRA KUMAR ISAAC, TINY DEVICES- NANO - THE EMERGING WORLD TECHNOLOGY , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
<< < 13 14 15 16 17 18 19 20 21 22 > >>
You may also start an advanced similarity search for this article.

