AI in Real-Time Student Performance Monitoring Using IoE

Abstract

The potential to revolutionise the real-time surveillance of students' academic progress within educational environments is present through the integration of artificial intelligence (AI) and the Internet of Everything (IoE). This study investigates the utilisation of AI-powered solutions within IoE frameworks to accurately and consistently evaluate student progress, identify areas for improvement, and establish personalised learning paths. Educational institutions will be able to establish classrooms that are capable of promptly adapting to the unique requirements of each student by combining the advanced analytics of Artificial Intelligence (AI) with the networked devices of the Internet of Things (IoT). This approach fosters an inclusive learning environment, personalised instruction, and active engagement among all students. The investigation investigates the technological and pedagogical repercussions of integrating AI and IoE into classrooms, as well as the potential for scalable education-related data-driven decision-making, ethical concerns, and data security.