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Automated Analysis of Students' Free-text Answers for Computer-Assisted Assessment

Abstract : We present an approach to Computer-Assisted Assessment of free-text material based on symbolic analysis of student input. The theory that underlies this approach arises from previous work on DidaLect, a tutorial system for reading comprehension in French as a Second Language. The theory enables processing of a free-text segment for assessment to operate without precoded reference material. A study based on a small collection of student answers to several types of questions has justified our approach, and helped to define a methodology and design a prototype.
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Submitted on : Friday, December 14, 2007 - 3:16:03 PM
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  • HAL Id : hal-00197397, version 1



Matthieu Hermet, Stan Szpakowicz, Lise Duquette. Automated Analysis of Students' Free-text Answers for Computer-Assisted Assessment. The 13th Conference on Natural Language Processing (TALN 2006). April 10-13, 2006. Leuven (Belgium), 2006, Leuven, Belgium. pp.835-845. ⟨hal-00197397⟩



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