Automated Analysis of Students’ Free-text Answers for Computer-Assisted Assessment
نویسندگان
چکیده
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.
منابع مشابه
On the Dynamic Adaptation of Computer Assisted Assessment of Free-Text Answers
To our knowledge, every free-text Computer Assisted Assessment (CAA) system automatically scores the students and gives feedback to them according to their responses, but, none of them include yet personalization options. The free-text CAA system Atenea [1] had simple adaptation possibilities by keeping static student profiles [2]. In this paper, we present a new adaptive version called Willow....
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