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<e-QTI>: A Reusable Assessment Engine

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Advances in Web Based Learning – ICWL 2006 (ICWL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4181))

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Abstract

<e-QTI> is a highly modular and extensible engine that simplifies the assessment cycle in terms of generation, execution, presentation, grading and archiving. <e-QTI> is based on the IMS QTI specification but it is able to export and import assessments represented in a wide range of formats, and also to maintain a pool of questions that can be reused in a wide variety of authoring situations. The engine is especially suited to be integrated in web-based learning platforms using well-defined interfaces, both Java-oriented and service-oriented. In this paper we describe <e-QTI>, its internal architecture and its most relevant implementation details.

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Author information

Authors and Affiliations

  1. Centro de Estudios Superiores Felipe II, 28300, Aranjuez, Spain

    Iván Martínez-Ortiz

  2. Dpto.Ingeniería del Software e Inteligencia Artificial, Fac. Informática, Universidad Complutense, 28040, Madrid, Spain

    Pablo Moreno-Ger, José Luis Sierra & Baltasar Fernández Manjón

Authors
  1. Iván Martínez-Ortiz
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  2. Pablo Moreno-Ger
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  3. José Luis Sierra
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  4. Baltasar Fernández Manjón
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Editor information

Editors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, Hong Kong, China

    Wenyin Liu

  2. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    Qing Li

  3. Department of Computer Science, University of Durham, South Road, DH1 3LE, Durham, UK

    Rynson W.H. Lau

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© 2006 Springer-Verlag Berlin Heidelberg

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Martínez-Ortiz, I., Moreno-Ger, P., Sierra, J.L., Manjón, B.F. (2006). <e-QTI>: A Reusable Assessment Engine. In: Liu, W., Li, Q., W.H. Lau, R. (eds) Advances in Web Based Learning – ICWL 2006. ICWL 2006. Lecture Notes in Computer Science, vol 4181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925293_13

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  • DOI: https://doi.org/10.1007/11925293_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49027-2

  • Online ISBN: 978-3-540-68509-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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