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Bhawna Khullar is an Assistant Professor in the Department of Electronics and Communication Engineering at Noida Institute of Engineering and Technology, Greater Noida. Her research interests include IoT, cybersecurity, communication technologies, and machine learning applications. She is actively involved in interdisciplinary research and innovation activities. Her academic work focuses on emerging technologies and digital safety.
This chapter provides an extensive examination of the integration of machine learning and Internet of Things technologies for the identification and alleviation of cyberbullying and digital harassment among adolescents. It stresses how important it is to use artificial intelligence, machine learning, and data-driven methods together to change how schools work today. The chapter also looks at real-time analytics, adaptive systems, and predictive modelling as examples of how to use these ideas in the real world to make teaching more successful and keep students interested. To make sure that the implementation is responsible, we carefully look at problems like data quality, scalability, privacy issues, and ethical concerns. There is also a discussion about how new technology will affect education systems that are equipped for the future. The chapter shows how intelligent systems can fill in the holes in traditional education by providing scalable and creative solutions that boost performance, make learning more accessible, and lead to long-term academic achievement in a variety of settings.