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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/4415

Title: Light-weight clustering techniques for short text answers in human computer collaborative (HCC) CAA
Authors: McGee Wood, Mary
Jones, Craig
Sargeant, John
Reed, Phil
Issue Date: 2006
Publisher: © Loughborough University
Citation: McGee Wood, M. ... et al, 2006. Light-weight clustering techniques for short text answers in human computer collaborative (HCC) CAA. IN: Danson, M. (ed.). 10th CAA International Computer Assisted Assessment Conference : Proceedings of the Conference on 4th and 5th July 2006 at Loughborough University. Loughborough : Lougborough University, pp. 291-308
Abstract: We first explore the paedogogic value, in assessment, of questions which elicit short text answers (as opposed to either multiple choice questions or essays). Related work attempts to develop deeper processing for fully automatic marking. In contrast, we show that light-weight, robust, generic Language Engineering techniques for text clustering in a human-computer collaborative CAA system can contribute significantly to the speed, accuracy, and consistency of human marking. Examples from real summative assessments demonstrate the potential, and the inherent limitations, of this approach. Its value as a framework for formative feedback is also discussed.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/4415
ISBN: 095395725X
Appears in Collections:CAA Conference

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