Compute

We present an approach and a system to let tutors monitor several important aspects related to online tests, 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 online tests and exploits data 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 data 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.

Index Terms--Distance learning, data visualization, interactive data exploration and knowledge discovery.




Source Citation:Costagliola, Gennaro, Vittorio Fuccella, Massimiliano Giordano, and Giuseppe Polese. "Monitoring online tests through data visualization.(Author abstract)." IEEE Transactions on Knowledge and Data Engineering 21.6 (June 2009): 773(12). InfoTrac General Science eCollection. Gale. BROWARD COUNTY LIBRARY. 26 May 2009
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