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
- Hemamalini V., Victoria Priscilla C, Deep learning driven image steganalysis approach with the impact of dilation rate using DDS_SE-net on diverse datasets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Vaishali Yeole, Rushikesh Yeole, Pradheep Manisekaran, Analysis and prediction of stomach cancer using machine learning , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- S ChandraPrabha, S. Kantha Lakshmi, P. Sivaraaj, Data analysis and machine learning-based modeling for real-time production , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Nandini S, Nagabushanam M, Nandeesh G S, Sundaresha M P, Pramodkumar S, Segmentation of Brain Tumor from Magnetic Resonance Imaging using Handcrafted Features with BOA-based Transformer , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Joji John Panicker, Ancy Elezabath John, Nair Anup Chandrasekharan, A tapestry of tradition: Revitalization of Indian Heritage and Folk Art , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Bommaiah Boya, Premara Devaraju, Integrating clinical and ECG data for heart disease prediction: A hybrid deep learning approach based on two modalities with particle swarm optimization , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Krishna P. Kalyanathaya, Krishna Prasad K, A framework for generating explanations of machine learning models in Fintech industry , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Archana Verma, Application of metaverse technologies and artificial intelligence in smart cities , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- V Anitha, Seema Sharma, R. Jayavadivel, Akundi Sai Hanuman, B Gayathri, R. Rajagopal, A network for collaborative detection of intrusions in smart cities using blockchain technology , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- E. J. David Prabahar, J. Manalan, J. Franklin, A literature review on the information literacy competency among scholars of co-education colleges and women’s colleges , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.

