Open AccessDiscrimination power of knowledge testing items
Author(s) -
Aleksandras Krylovas,
Natalja Kosareva,
Julija Karaliūnaitė
Publication year - 2017
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.b.2017.07
Subject(s) - test (biology) , fuzzy logic , item response theory , artificial intelligence , computer science , mathematics , machine learning , statistics , psychometrics , paleontology , biology
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.