Operating System Virtualization to support E-learning with Affective Intelligent Tutoring Systems

This paper introduces an operating system virtual machine platform for deploying affective intelligent tutoring systems in an e-iearning environment. Managed e-learning environments are often web based and rely on a browser to minimize configuration on the client machine, however even in these scenarios it is not unusual to have very specific requirements of the client machine, browser type and version, Javatrade virtual machine version and even operating system. In the case of affective intelligent tutoring systems there are additional requirements associated with the affective sensors, camera, bio-mouse etc. An operating system virtual machine approach allows the software stack of the client to be pre-configured and distributed in one shot. This minimizes the client side configuration easing the adoption of the technology. This paper identifies some of the key performance issues associated with this approach.