Enhancing the IMS QTI to better support computer assisted marking
Article
Article Title | Enhancing the IMS QTI to better support computer assisted marking |
---|---|
ERA Journal ID | 20819 |
Article Category | Article |
Authors | Clark, Damien (Author) and Baillie-de Byl, Penny (Author) |
Journal Title | International Journal of Distance Education Technologies |
Journal Citation | 5 (3), pp. 8-23 |
Number of Pages | 16 |
Year | 2007 |
Place of Publication | Hershey, PA. United States |
ISSN | 1539-3100 |
1539-3119 | |
Digital Object Identifier (DOI) | https://doi.org/10.4018/ijdet.2007070102 |
Web Address (URL) | http://www.igi-pub.com/Bookstore/Article.aspx?TitleId=1706 |
Abstract | Computer aided assessment is a common approach used by educational institutions. The benefits range into the design of teaching, learning and instructional materials. While some such systems implement fully automated marking for multiple choice questions and fill-in-the-blanks they are insufficient when human critiquing is required. Current systems developed in isolation have little regard to scalability and interoperability between courses, computer platforms and Learning Management Systems. The IMS Global Learning Consortium’s open specifications for interoperable learning technology lack functionality to make it useful for Computer Assisted Marking. This paper presents an enhanced set of these standards to address the issue. |
Keywords | internet-based technology; XML; distance education; assessment; educational technology; rubrics; technological innovations; computer aided assessment; computer assisted marking; interoperable learning technology |
ANZSRC Field of Research 2020 | 461399. Theory of computation not elsewhere classified |
461299. Software engineering not elsewhere classified | |
390402. Education assessment and evaluation | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Central Queensland University |
Department of Mathematics and Computing |
https://research.usq.edu.au/item/9y532/enhancing-the-ims-qti-to-better-support-computer-assisted-marking
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