From informal knowledge to high quality e-Assessment process: The OAT semantic approach

This paper presents an innovative process to improve the quality of e-Assessment test creation and delivery. It aims to automatically generate a bank of items based on semantic and formal knowledge model. The OAT process is based on the three tools (1) OVACS to validate ontologies seamlessly and without technical skills. (2) AIGLE to generate a bank of QTI items thanks to semantic inference and (3) TAO, an e-Assessment platform, to deliver the produced items to the test-takers.