Predicting Student’s Behaviors Using Iot: A Systematic Mapping Study

In the era of emerging technologies, an impressive number of Internet of Things (IoT) applications are emerging every day. One of the intriguing solutions is to help students improve their learning by guiding them and recommending precise and concise learning content. Thus, in this paper, through a systematic mapping study, we aim to present a general review on how to predict student’s behaviors in the classroom using IoT technology for the purpose to quantify and measure these behaviors, therefore establishing a global view of student’s performance. 20 relevant papers were extracted from different scientific databases, and published between 2006 and 2020. The main objective is to provide a historical and geographical classification of research that combines IoT with Student’s behaviors in the classroom, the most challenging areas, and the resulting artifacts.