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Seeing the Whole Picture: Comparing Computer Assisted Assessment Systems using LSA-based Systems as an Example (2007)
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BibTeX
@MISC{Haley07seeingthe,
author = {Debra Trusso Haley and Pete Thomas and Marian Petre and Anne De Roeck and Walton Hall and Debra Trusso Haley and Pete Thomas and Marian Petre and Anne De Roeck},
title = {Seeing the Whole Picture: Comparing Computer Assisted Assessment Systems using LSA-based Systems as an Example},
year = {2007}
}
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Abstract
This paper presents a framework for evaluating computer assisted assessment (CAA) systems. It discusses why the framework can be useful for both producers and consumers of these automatic aids to assessing learners. The framework builds on previous work to analyse Latent Semantic Analysis- (LSA) based systems, a particular type of CAA, that produced a research taxonomy that could help LSA CAA developers to publish their results in a format that is comprehensive, relatively compact, and useful to other researchers. The paper contends that, in order to see a complete picture of a CAA system, certain pieces must be emphasised. It presents the framework as a jigsaw puzzle whose pieces join together to form the whole picture and provides an example of the utility of the framework by presenting some empirical results from our LSA-based CAA system that marks questions about html. Finally, the paper suggests that the framework is not limited to LSAbased systems. With slight modifications, it can be applied to any CAA system. 1
Keyphrases
whole picture lsa-based system comparing computer assisted assessment system caa system slight modification particular type complete picture previous work lsa-based caa system framework build research taxonomy lsa caa developer empirical result jigsaw puzzle latent semantic analysis automatic aid certain piece
