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.
Highlights
on the level of knowledge measured by the test
the test item for example may well differentiate whether all testees
In the research fuzzy sets mathematical theory is used
Summary
Klausimo išspendžiamumą k(S′) testuojamųjų aibei S′ apibrėžiame kaip teisingai atsakiusiųjų t(S′). Jei S′ yra neryškioji aibė, klausimo sunkumą apibūdinsime neryškiu trikampiniu skaičiumi Tr (L, T, R) (0 L T R 100), kuris atskiruoju atveju sutampa su k(S′) = L = T = R. Y. skaičių L, T , R skaičiavimo metodika, kai yra žinoma, kurie iš neryškiosios testuojamųjų aibės teisingai atsakė į testo klausimą. Kad sąryšis yra negriežtosios tvarkos sąrysis (žr.: [2]). Kad kiekvienam poaibiui apibrėžtas neryškusis trikampinis klausimo sunkumo skaičius Tr W , Tr M , Tr S. Siūloma tokia klausimo skiriamosios gebos klasifikacija: klausimas gerai diferencijuoja visus studentus, kai galioja Tr W ≺ Tr M ≺ Tr S; klausimas gerai diferencijuoja stiprius studentus, kai galioja Tr W TrM ≺ Tr S; klausimas gerai diferencijuoja silpnus studentus, kai Tr W ≺ Tr M Tr S; klausimas prastai diferencijuoja visus studentus, kai TrW Tr M Tr S ; klausimas yra netinkamas visais kitais atvejais
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