DocumentCode
2823541
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
fYear
2012
fDate
26-28 Sept. 2012
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICL.2012.6402219
Filename
6402219
Link To Document