A Review of Intelligent Environmental Monitoring Systems Leveraging IoT and Machine Learning in the Context of Smart Education

Abstract

help improve the learning experience and create healthier, more sustainable places for students. This review looks at the newest ideas, trends, and developments in envi-ronmental monitoring technologies that use the Internet of Things (IoT) and Machine Learn-ing (ML) in smart education environments. These systems collect and analyze real-time data on factors like temperature, humidity, air quality, and noise levels. This helps create learning spaces that can change and adapt, use energy more efficiently, and support student health and well-being.The review brings together recent studies on different parts of these systems, including how they are designed, the types of sensors used, how data is shared and processed, and the smart systems that make decisions.It also explains how Machine Learning helps pre-dict what might happen and detect problems early, which allows schools to manage their en-vironment more effectively. The review also discusses some main challenges, such as pro-tecting student data, making sure the systems can grow and work with existing school setups, and the need for common standards and rules.Overall, this review shows how smart environ-mental monitoring can make a big difference in creating smarter, more responsive, and inclu-sive learning environments.It also suggests where future research could go to encourage more innovation and help these technologies be used in many different types of schools and learn-ing environments.