Integrating Real-Time Data Streams
Greeshma Suryadevara, Pratap Pachipulusu · Advances in computational intelligence and robotics book series · 2025
The integration of real-time data streams in education is revolutionizing how learning outcomes are monitored and enhanced. This chapter explores the role of advanced data analytics, machine learning, and Internet of Things (IoT) technologies in capturing, processing, and analyzing real-time educational data. By leveraging these technologies, educators and institutions can make data-driven decisions to personalize learning experiences, identify at-risk students, and optimize instructional strategies. The chapter discusses frameworks for real-time data integration, challenges in implementation, and the ethical considerations of using continuous data monitoring in education. Case studies and empirical findings demonstrate how real-time analytics improve student engagement, performance tracking, and institutional efficiency, paving the way for a more adaptive and responsive educational ecosystem.