The number of pupils and students suff ering from ophthalmic and respiratory diseases as a result of living and studying in an envi- ronment that does not meet lighting and air quality standards is growing. Teaching and learning in an unventilated space increase the risk of disease, especially in the current SARS-CoV-2 epidemic. However, the monitoring and management of school environment criteria have not been done well. The objective of the project is to design a system to monitor and collect environmental parameters in the classroom, such as light intensity, temperature, humidity, carbon dioxide (CO2), and fi ne dust (PM 2.5 and PM10). A LoRa wireless sensor network is made up of sensor nodes that read data from sensors and send it to a gateway. This gateway is in charge of collecting data from across the network and uploading it to the Cayenne database for real-time storage. The system is intended to allow users to easily access and monitor environmental quality indicators in the classroom, which are presented in the form of visual charts. Experiments in several classrooms at the College of Engineering Technology, Can Tho University have been used to assess the project’s feasibility.