A complete automatic short answer assessment system with student identification

Suwanwiwat, Hemmaphan, Blumenstein, Michael, and Pal, Umapada (2015) A complete automatic short answer assessment system with student identification. In: Proceedings of the 13th International Conference on Document Analysis and Recognition, pp. 611-615. From: ICDAR 2015: 13th International Conference on Document Analysis and Recognition, 23-26 August 2015, Nancy, France.

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Abstract

There are only a few studies undertaken in developing automatic assessment systems using handwriting recognition, even though a successful system would undoubtedly benefit the education system as schools and universities in many countries still employ paper-based examinations. To the best of the authors' knowledge, there is no existing work on an automatic off-line short answer assessment system comprising a student identification component. Hence in this paper, the authors propose a system towards this, where a new feature extraction technique called the Enhanced Water Reservoir, Loop and Gaussian Grid Feature, as well as other enhanced feature extraction techniques were utilised. Artificial Neural Networks and Support Vector Machines were employed as the classifiers; they were used for the investigation, and a comparison of the recognition and accuracy rates of the proposed systems, as well as the feature extraction techniques, was undertaken. The proposed assessment system achieved a recognition rate of 87.12% with 91.12% assessment accuracy, and the student identification component obtained a recognition rate of 99.52% with a 100% identification accuracy rate.

Item ID: 46487
Item Type: Conference Item (Refereed Research Paper - E1)
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ISBN: 978-1-4799-1805-8
Date Deposited: 27 Nov 2016 23:55
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 20%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified @ 80%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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