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AI-Enhanced Collaboration and Teamwork in Virtual Learning Environments
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Author(s): Syed Mohd Faisal (Malla Reddy Technical Campus, Malla Reddy Vishwavidyapeeth University, Hyderabad, India), Wasim Khan (Symbiosis Institute of Technology, Symbiosis International University, India)and Mohammad Ishrat (VIT Bhopal University, Sehore, India)
Copyright: 2026
Pages: 28
Source title:
Intelligent Learning Tools, Enhancing Student Skills, and Career Preparedness
Source Author(s)/Editor(s): Reda Mohamed Said Abdelaal (Helwan University, Egypt)and Mustafa Kayyali (Maaref University of Applied Sciences, Syria)
DOI: 10.4018/979-8-3373-9225-7.ch006
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Abstract
Artificial Intelligence (AI) offers transformative potential for enhancing collaboration and teamwork in Virtual Learning Environments (VLEs). Leveraging techniques such as Natural Language Processing, Reinforcement Learning, Recommender Systems, and Sentiment Analysis, AI systems facilitate intelligent group formation, dynamic role allocation, adaptive scaffolding, and early conflict detection. Grounded in educational psychology and systems engineering, this work synthesizes theoretical frameworks with empirical applications from platforms like Coursera, IBM Watson Tutor, and Microsoft Teams. Key ethical concerns—algorithmic bias, data privacy, and instructional control are critically examined, with mitigation strategies proposed through Explainable AI and Federated Learning. Emerging directions include immersive metaverse-based collaboration, neuroadaptive feedback systems, and hybrid AI–human facilitation architectures. The findings contribute to the development of equitable, scalable, and pedagogically aligned AI-enhanced collaborative learning ecosystems.
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