Towards More Intelligent Assessment Systems

Towards More Intelligent Assessment Systems

Sonya Radenkovic, Nenad Krdžavac, Vladan Devedžic
Copyright: © 2008 |Pages: 26
ISBN13: 9781599046006|ISBN10: 1599046008|EISBN13: 9781599046020
DOI: 10.4018/978-1-59904-600-6.ch011
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MLA

Radenkovic, Sonya, et al. "Towards More Intelligent Assessment Systems." Technology Enhanced Learning: Best Practices, edited by Miltiadis D. Lytras, et al., IGI Global, 2008, pp. 258-283. https://doi.org/10.4018/978-1-59904-600-6.ch011

APA

Radenkovic, S., Krdžavac, N., & Devedžic, V. (2008). Towards More Intelligent Assessment Systems. In M. Lytras, D. Gasevic, P. Ordóñez de Pablos, & W. Huang (Eds.), Technology Enhanced Learning: Best Practices (pp. 258-283). IGI Global. https://doi.org/10.4018/978-1-59904-600-6.ch011

Chicago

Radenkovic, Sonya, Nenad Krdžavac, and Vladan Devedžic. "Towards More Intelligent Assessment Systems." In Technology Enhanced Learning: Best Practices, edited by Miltiadis D. Lytras, et al., 258-283. Hershey, PA: IGI Global, 2008. https://doi.org/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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