Innovative Sensing Technologies for Interactive Education

Dear Colleagues,

This Special Issue welcomes cutting-edge contributions that explore the intersection of innovative sensing technologies and interactive education. More specifically, it focuses on novel sensing methodologies, hardware–software co-designs, and intelligent systems that leverage sensor data to enhance interactivity, personalization, and responsiveness in educational environments. We seek work that advances the engineering foundations of sensing for education, such as sensor fusion, edge-AI integration, noise-robust signal processing, and human-centered sensing interfaces, and clearly demonstrates how these innovations enable meaningful educational interactions. Topics of interest include but are not limited to agent-enhanced LIDSD analytics, multi-agent systems for sparse sensor data fusion, reinforcement learning agents for noise-resilient sensing, virtual tutors powered by lightweight sensor-aware agents, agent-based simulations for teacher training, ethically aligned agent design, and privacy-preserving sensing architectures for educational contexts. Both original research articles (experimental or theoretical) and comprehensive review papers are welcome.

Prof. Dr. Qingquan Sun
Prof. Dr. Jin Wang
Prof. Dr. Xinlin Huang
Guest Editors

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