Utilizing User Activity and System Response for Learning Analytics in a Remote Lab

Abstract

Providers of learning material have a genuine interest in feedback about their learning resources. For a remote lab, providers like to know how students use the lab environment, which experiments they perform and what results they get from the experiments. This contribution describes an approach to perform learning analytics by recording the user interactions and the behavior of the hardware inside the remote lab.