Bio-Aware Semantic Communication Protocols for Real-Time Neuro-Adaptive Feedback in Immersive Smart Education Platforms
Year: 2026
Type: conference-paper
Abstract: The integration of Virtual Reality (VR) and Augmented Reality (AR) in the field of education has led to the rapid development of immersive intelligent tutoring systems. These systems require the development of new communication protocols that can adapt to the real-time cognitive and emotional responses of the learner. Traditional methods of communication are focused on the content and therefore omit any bio-awareness that may lead to more effective and personalized learning experiences. This study presents the Bio-Aware Semantic Communication Protocol (BASCP) that enables the use of real-time neuro-adaptive mechanisms in immersive learning systems. The proposed method incorporates the use of semantic communication and bio-signal acquisition methods (EEG, Heart Rate Variability, and eye-tracking) to modulate the content presented to the learner based on their cognitive engagement and load. The study also develops a hybrid architecture that combines deep neural networks and semantic encoding layers to contextualize information and prioritize it so that the rate of inessential information transmission is reduced, in comparison to previous communication protocols, by approximately 32%. The study also reports the outcomes of the proposed method during the experimentation conducted on a simulated immersive learning environment while engaging 120 users. The knowledge retention exhibited a 27% improvement, cognitive load was reduced by 22%, and the engagement of the users increased by 30%. Additionally, the feedback mechanisms were optimized through reinforcement learning to adapt personalized feedback based on the learning styles of the users. Results show that BASCP boosts the efficiency of communication and the effectiveness of learning, while keeping a low latency that is suitable for real-time use. This paper adds to the convergence of cyber-physical systems, cognitive computing, and smart education technologies. This is in sync with the ICSSIT 2026 theme by presenting an adaptable and smart communication approach for future intelligent learning ecosystems.
Authors: Sapna Bawankar, Dawakit Lepcha
Institution: Kalinga University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7204132899