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Towards More Intelligent Assessment Systems
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Author(s): Sonya Radenkovic (University of Belgrade, Serbia), Nenad Krdžavac (University of Belgrade, Serbia)and Vladan Devedžic (University of Belgrade, Serbia)
Copyright: 2008
Pages: 26
Source title:
Technology Enhanced Learning: Best Practices
Source Author(s)/Editor(s): Miltiadis D. Lytras (Effat University, Saudi Arabia), Dragan Gasevic (Athabasca University, Canada), Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain)and Weihong Huang (Kingston University, UK)
DOI: 10.4018/978-1-59904-600-6.ch011
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Abstract
This chapter presents a framework for intelligent analysis of the students’ knowledge in assessment systems, using description logics (DLs) reasoning techniques. The framework is based on Model Driven Architecture (MDA) software engineering standards. It starts from the IMS Question and Test Interoperability (QTI) standard and includes MDA-based metamodel and model transformations for QTI assessment systems. It also specifies an architecture for QTI assessment systems that is reusable, extensible, and facilitates interoperability between its component systems. An implementation of the QTI metamodel and the relevant example of transformations is provided in order to support developments according to the proposed framework.
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