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A human-computer collaborative approach to the marking of free text answers

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posted on 25.05.2006, 16:26 by John Sargeant, Mary McGee Wood, Stuart M. Anderson
We propose the term Human-Computer Collaborative Assessment (HCCA) for a distinct and currently rather neglected sub-field of CAA. In HCCA answers are constructions rather than selections, and marking is a process of active collaboration between human marker and machine. We present the results of experience with simple tools which demonstrate significant time savings compared to traditional paper marking. Further improvements in both speed and quality of assessment are clearly possible, but require much more sophisticated tools, particularly for free text answers. We review the role which Natural Language Processing techniques can play, particularly in the light of experience from other domains. Analysis of a number of answer sets highlights key issues in HCCA as well as underlining the infeasibility of fully automatic marking in many situations.

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School

  • University Academic and Administrative Support

Department

  • Professional Development

Research Unit

  • CAA Conference

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142887 bytes

Citation

SARGEANT, MCGEE WOOD and ANDERSON, 2004. A Human-computer Collaborative Approach to the Marking of Free Text Answers. IN: Proceedings of the 8th CAA Conference, Loughborough: Loughborough University

Publisher

© Loughborough University

Publication date

2004

Notes

This is a conference paper.

Language

en

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