We present an approach to Computer-Assisted Assessment of free-text material based on symbolic analysis ofstudent 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.
%0 Conference Paper
%1 Hermet06
%A Hermet, Matthieu
%A Szpakowicz, Stan
%A Duquette, Lise
%B Proceedings of the TAL & ALAO Workshop at the 13th Conference Sur
%D 2006
%E n/a,
%K caa freetext freetext_question_classification nlp
%T Automated Analysis of Students' Free-text Answers for Computer-Assisted Assessment
%U http://www.noe-kaleidoscope.org/group/idill/repository/Hermet.pdf
%X We present an approach to Computer-Assisted Assessment of free-text material based on symbolic analysis ofstudent 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.
@inproceedings{Hermet06,
abstract = {We present an approach to Computer-Assisted Assessment of free-text material based on symbolic analysis ofstudent 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. },
added-at = {2010-05-20T09:11:00.000+0200},
author = {Hermet, Matthieu and Szpakowicz, Stan and Duquette, Lise},
biburl = {https://www.bibsonomy.org/bibtex/266e1e41b77c4a367788ca96b85c11b7c/ifland},
booktitle = {Proceedings of the TAL \& ALAO Workshop at the 13th Conference Sur},
description = {n/a},
editor = {n/a},
interhash = {3d48c94ebee49e4376032154591efce7},
intrahash = {66e1e41b77c4a367788ca96b85c11b7c},
keywords = {caa freetext freetext_question_classification nlp},
timestamp = {2010-05-21T13:59:11.000+0200},
title = {Automated Analysis of Students' Free-text Answers for Computer-Assisted Assessment},
url = {http://www.noe-kaleidoscope.org/group/idill/repository/Hermet.pdf},
year = 2006
}