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VOL. 10, ISSUE 3 (2025)
AI-based virtual laboratories for real-time remote learning in science and engineering
Authors
Thakare Mahendra Vishwanath, Shubham Sanjay Jondhale
Abstract
Artificial Intelligence (AI) is
revolutionizing language learning by enabling real-time, voice-based
interactions that enhance students' engagement and proficiency in schools. This
paper explores the integration of AI-driven speech recognition, natural
language processing, and adaptive learning techniques to create interactive
language learning environments. By leveraging real-time feedback, pronunciation
analysis, and personalized learning paths, AIpowered systems provide students
with immersive experiences that improve fluency, comprehension, and confidence.
The proposed approach also utilizes machine learning algorithms to assess
learners' progress and tailor content based on individual needs, fostering an
inclusive and effective educational framework. Additionally, AI enhances
teacher support by automating assessments and providing insights into students'
linguistic development. Challenges such as speech recognition accuracy, data
privacy, and implementation costs are addressed, alongside potential solutions
to optimize system performance. The study highlights the transformative role of
AI in modernizing language education, promoting accessibility, and bridging
linguistic gaps in diverse classroom settings. Through empirical analysis and
case studies, this research demonstrates the efficacy of AI-driven voice-based
learning in enhancing language acquisition and communication skills among
students, paving the way for future advancements in AI-assisted education.
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Pages:185-188
How to cite this article:
Thakare Mahendra Vishwanath, Shubham Sanjay Jondhale "AI-based virtual laboratories for real-time remote learning in science and engineering ". International Journal of Advanced Scientific Research, Vol 10, Issue 3, 2025, Pages 185-188
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