Title :
From informal knowledge to high quality e-Assessment process: The OAT semantic approach
Author :
Djaghloul, Y. ; Foulonneau, M. ; Jadoul, R.
Author_Institution :
Service Sci. & Innovation, CRP Henri Tudor, Luxembourg, Luxembourg
Abstract :
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.
Keywords :
computer aided instruction; inference mechanisms; ontologies (artificial intelligence); AIGLE; OAT semantic approach; OVACS; QTI items; TAO; e-assessment test creation; e-assessment test delivery; high quality e-assessment process; ontologies; semantic inference; Abstracts; Context; Data mining; OWL; Ontologies; Semantics; e-Assessment; item generation; ontology; validation;
Conference_Titel :
Interactive Collaborative Learning (ICL), 2012 15th International Conference on
Conference_Location :
Villach
Print_ISBN :
978-1-4673-2425-0
Electronic_ISBN :
978-1-4673-2426-7
DOI :
10.1109/ICL.2012.6402219
