Internet of Things support system for diabetic students : an exploratory study

Internet of Things (IoT) and Artificial Intelligence (AI) play a key function in smart decision systems. IoT systems use several sensors that are capable of gathering huge amounts of data in various environments and are run through artificial intelligence software to solve issues. Among the groups that could benefit from the Internet of Things are students with diabetes. In the first phase of the research, the purpose of the exploratory study, which we report here based on mixed methods (quantitative and qualitative methods), is to explore the performance of diabetic students in Saudi Arabian high schools. In addition, it aims to examine the academic issues that could face diabetic students, teachers, parents of children with diabetes, and administrative staff. The results of the exploratory study demonstrate that diabetes affects the students’ academic performance and diabetic students have faced several academic issues such as concentration, school setting and attendance issues. Moreover, in the second phase of the research, a decision support system will be developed, and different classification algorithms will be applied. Then, the performance of these algorithms and the majority voting will be measured