Authors

G. Manoj Kumar

Information Technology, SIES College of Arts, Science and Commerce (Empowered Autonomous), Mumbai, India

Abstract

The rapid adoption of online learning platforms has highlighted the need for effective communication tools that support collaborative peer interactions, particularly for students with diverse learning abilities. This study presents the design and implementation of AI-enabled assistive technologies aimed at enhancing real-time peer communication in virtual learning environments. The system integrates natural language processing (NLP), speech-to-text and text-to-speech modules, and predictive AI algorithms to facilitate seamless interaction between participants. By automatically translating spoken and written inputs, providing contextual suggestions, and adapting to individual learning preferences, the platform reduces communication barriers and enhances engagement among students. A real-time feedback mechanism is incorporated to monitor conversation dynamics, detect misunderstandings, and provide instant support, thereby ensuring inclusivity and improved knowledge sharing. Experimental evaluations conducted on a prototype platform demonstrate that the system significantly improves the efficiency, clarity, and accessibility of online peer learning sessions, while reducing cognitive load for participants. This research underscores the potential of AI-assisted communication tools in promoting collaborative, adaptive, and inclusive learning, establishing a foundation for future enhancements in digital education technologies.

Keywords

Collaborative E-Learning Context-Aware Communication AI in Education Intelligent Tutoring Support Real-Time Interaction Mediation Learner Engagement Optimization Human–Computer Interaction (HCI) Educational Data Mining

Citation of this Article

G. Manoj Kumar. (2025). AI-Enabled Assistive Technologies for Real-Time Online Peer Learning Communication. Journal of Artificial Intelligence and Emerging Technologies. 2(7), 1-5. Article DOI: https://doi.org/10.47001/JAIET/2025.207001

Licence Copyright (c) 2026 Journal of Artificial Intelligence and Emerging Technologies. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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