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Delivery of QTIv2 question types.

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Title: Delivery of QTIv2 question types.
Authors: Wills, GaryB.1 (AUTHOR) gbw@ecs.soton.ac.uk, Davis, HughC.1 (AUTHOR), Gilbert, Lester1 (AUTHOR), Hare, Jonathon1 (AUTHOR), Howard, Yvonne1 (AUTHOR), Jeyes, Steve2 (AUTHOR), Millard, David1 (AUTHOR), Sherratt, Robert2 (AUTHOR)
Source: Assessment & Evaluation in Higher Education. Jun2009, Vol. 34 Issue 3, p353-366. 14p. 2 Black and White Photographs, 8 Diagrams.
Subject Terms: *Education research, *Online education, *Internet in education, *Higher education, *Learning, *Information resources management, *Computer network resources, Architecture
Abstract: The IMS Question and Test Interoperability (QTI) standard identifies 16 different question types which may be used in online assessment. While some partial implementations exist, the R2Q2 project has developed a complete solution that renders and responds to all 16 question types as specified. In addition, care has been taken in the R2Q2 project to ensure that the solution produced will allow for future changes in the specification. The design of R2Q2 is described, the focus being on lessons learnt. We describe the architecture and the rationale of the internal web services and explain the approach taken in implementing the QTI specification, showing how the design allows for future tags to be added with the minimal of programming effort. The QTI standard has not had a great take-up in part due to the lack of tools. In the 2006 Joint Information Systems Committee Capital, three assessment projects were commissioned: item authoring, item banking and QTI-compliant test delivery. This article describes the 'ASDEL' test delivery engine, focusing upon its architecture, its relation to the item authoring and item banking services, and the integration of the R2Q2 web service. [ABSTRACT FROM AUTHOR]
Copyright of Assessment & Evaluation in Higher Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Delivery of QTIv2 question types.
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  Data: <searchLink fieldCode="JN" term="%22Assessment+%26+Evaluation+in+Higher+Education%22">Assessment & Evaluation in Higher Education</searchLink>. Jun2009, Vol. 34 Issue 3, p353-366. 14p. 2 Black and White Photographs, 8 Diagrams.
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  Data: The IMS Question and Test Interoperability (QTI) standard identifies 16 different question types which may be used in online assessment. While some partial implementations exist, the R2Q2 project has developed a complete solution that renders and responds to all 16 question types as specified. In addition, care has been taken in the R2Q2 project to ensure that the solution produced will allow for future changes in the specification. The design of R2Q2 is described, the focus being on lessons learnt. We describe the architecture and the rationale of the internal web services and explain the approach taken in implementing the QTI specification, showing how the design allows for future tags to be added with the minimal of programming effort. The QTI standard has not had a great take-up in part due to the lack of tools. In the 2006 Joint Information Systems Committee Capital, three assessment projects were commissioned: item authoring, item banking and QTI-compliant test delivery. This article describes the 'ASDEL' test delivery engine, focusing upon its architecture, its relation to the item authoring and item banking services, and the integration of the R2Q2 web service. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Assessment & Evaluation in Higher Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2009
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