Semantically enhanced virtual learning environments using sunflower

Abstract

Teaching procedural skills is relevant for a broad range of applications, from IT administration to automotive repair to medical diagnostics. Virtual learning environments reduce the cost, time, and risk, and increase the availability of such training. We introduce ontologies and rules to characterize the objects in the learning environment, and the actions that the user can perform on them. These semantic models are used as the basis for automated reasoning about a student’s actions and their effects, and guide automated assessment and feedback to the student. We describe our system and models in the context of weapon skills such as disassembling and assembling a rifle.