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International Journal of Computer Science and Informatics

Abstract

We present an approach and a system to let tutors monitor several important aspects related to etests, such as learner behavior and test quality. The approach includes the logging of important data related to learner interaction with the system during the execution of e-tests and exploits scientific visualization to highlight information useful to let tutors review and improve the whole assessment process. We have focused on the discovery of behavioral patterns of learners and conceptual relationships among test items. Furthermore, we have led several experiments in our faculty in order to assess the whole approach. In particular, by analyzing the scientific visualization charts, we have detected several previously unknown test strategies used by the learners. Last, we have detected several correlations among questions, which gave us useful feedbacks on the test quality.

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