Data Collection Framework to the Learning Monitoring Using Logical Sensor Network

Abstract

Several projects have been proposed to make easier the distance education monitoring and assessment, based on logs and databases. In this paper, we present a data collection framework based on logical and physical sensor network that can track and capture events generated by users and applications in real-time. For that, sensors are deployed in Learning Management Systems (LMS), in user devices and physical environment that surrounds it in order to capture relevant and substantial data for teaching-learning process understanding. Theoretical analysis shows that this possibility achieves better inferences when applied on a more significant data set.