Title :
Computer Assisted Assessment (CAA) of Free-Text: Literature Review and the Specification of an Alternative CAA System
Author :
Karanikolas, Nikitas N.
Author_Institution :
Dept. of Inf., Technol. Educ. Inst. (TEI) of Athens, Athens, Greece
Abstract :
So far there are a number of computer assisted assessment approaches that are based on a variety of features. However, those approaches exploit the whole set of training documents in order to assess a provided free-text answer against a given question. Recent text classification approaches are orientated to mine average class documents and consequently they provide cheap classification methods that compute similarities between new unclassified documents and the average class documents. The same idea can be applied for scoring free-text answers. In this case the methodology should be able to mine one average free-text (reference) answer for each given question.
Keywords :
computer aided instruction; educational administrative data processing; pattern classification; text analysis; CAA system; computer assisted assessment approach; document mining; free text answer; text classification approach; training document; Artificial intelligence; Artificial neural networks; Bayesian methods; Collaborative work; Computer aided analysis; Data mining; Educational technology; Equations; Informatics; Text categorization; computer assisted assessment; essay assessment; free-text assesment; short-answer assessment; text classification;
Conference_Titel :
Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE), 2010 19th IEEE International Workshop on
Conference_Location :
Larissa
Print_ISBN :
978-1-4244-7216-1
DOI :
10.1109/WETICE.2010.53