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Mr. Sunkari Rajasheker is an Assistant Professor in the Department of Electronics and Communication Engineering at Gurunanak University, Telangana. His research interests include IoT, embedded systems, wireless communication, and smart learning environments. He actively engages in research related to intelligent monitoring systems and automation technologies. He has contributed to various technical publications and academic projects.
This chapter provides an in-depth examination of an IoT-enabled smart classroom setting for the real-time assessment of student engagement and learning effectiveness. It stresses the need to use artificial intelligence, machine learning, and data-driven methods together to change how schools work today. The talk focuses on important frameworks, algorithms, and technology methods that make it easier to keep an eye on, forecast, and enhance student results. The suggested methods support personalised learning, timely intervention, and smart academic decision-making by using massive datasets and smart analytics. The chapter shows how intelligent systems can fill in the gaps in traditional education by providing scalable and creative solutions that boost performance, inclusivity, and long-term academic achievement in a variety of learning settings.