Support Platform for IoT-Based Chemistry Laboratory Activities

Abstract

The objective of the research was to build a support platform for chemistry laboratory activities based on the Internet of Things (IoT). The platform provides an economical alternative for conducting chemistry laboratory activities. The research had a mixed approach, where surveys were applied to teachers, students, and administrative staff of the University of Cartagena, and a V-model was used for the development of the application. The main stages of the model included benchmarking to determine the components to be used, the construction of the data acquisition hardware, the development of the laboratory data acquisition software, and the application of component integration, reliability, and technological acceptance tests. As a result, a web application was created, and TDS and temperature sensors were installed and connected by Wi-Fi. In addition, a technological acceptance test was conducted in the Chemistry program. The acceptance test was based on Davis’ technology acceptance model (1989), which considers the user’s ease of use and usefulness perceived, which resulted in a high degree of acceptance. In addition, the platform built has compatibility with multiple sensors, including those outside chemistry, allowing its use in laboratories of other disciplines.