Discrimination power of knowledge testing items
Articles
Aleksandras Krylovas
Vilniaus Gedimino technikos universitetas
Natalja Kosareva
Vilniaus Gedimino technikos universitetas
Julija Karaliūnaitė
Vilniaus Gedimino technikos universitetas
Published 2017-12-20
https://doi.org/10.15388/LMR.B.2017.07
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Keywords

mathematical modeling
fuzzy sets
dicotomous tests

How to Cite

Krylovas A., Kosareva N. and Karaliūnaitė J. (2017) “Discrimination power of knowledge testing items”, Lietuvos matematikos rinkinys, 58(B), pp. 39–44. doi: 10.15388/LMR.B.2017.07.

Abstract

In the article one fuzzy classification algorithm of dichotomous test questions is proposed. Depending on the level of knowledge measured by the test, the test item for example may well differentiate whether all testees or only testees with strong or only with weak level of knowledge; as well as the test item may badly differentiate testees and therefore be inappropriate. In the research fuzzy sets mathematical theory is used.

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