International Journal of Scientific Research and Engineering Development

The rapid integration of technology in educational settings has opened new possibilities for transforming passive learning environments into intelligent, responsive ecosystems. However, the persistent challenges of declining student engagement, inefficient resource utilization, and the inability to personalize learning experiences at scale continue to impede educational outcomes. This paper presents SmartEduSense, an IoT-enabled intelligent classroom framework that integrates sensor fusion, computer vision, machine learning, and adaptive learning algorithms to monitor student engagement in real time, optimize classroom resource management, and deliver personalized instructional content. The proposed system employs a fivelayer architecture encompassing sensor data acquisition, preprocessing, behavioral pattern recognition, adaptive response generation, and administrative dashboard reporting. A 7-axis engagement profiling module quantifies attention, participation, fatigue, comprehension, emotional state, posture, and peer interaction to produce a comprehensive student engagement index. Experimental evaluation across a pilot deployment in three classroom environments demonstrates an engagement detection accuracy of 96.8%, average system latency under 1.5 seconds, and a measurable 22% improvement in active learning participation over a six-week observation period. The framework further supports smart resource management including automated lighting, HVAC control, and attendance marking. SmartEduSense offers a scalable, privacy-aware, and educator-friendly platform applicable across schools, universities, and corporate training facilities, with strong potential to bridge the personalized learning gap prevalent in largescale educational institutions across India and beyond.

A.Agesta Jenifer, K.Thirulingeshwar,"An IoT-Enabled Intelligent Classroom Framework for Real-Time Student Engagement Monitoring, Adaptive Learning, and Smart Resource Management" International Journal of Scientific Research and Engineering Development, V9(3): Page(179-186) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.