MCDM'07 - paper no. 13

 

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Multiple criteria vector testing results evaluation model

Igor Rudynsky, E.M. Askerov, M.A. Emelin

Abstract:

In the paper one of the most important problems of modern testology which consists in quality definition of test task is discussed. Special attention is devoted to basic characteristic - the truth degree of test tasks answers. This characteristic is considered in pedagogical knowledge testing. A hierarchy of knowledge evaluation models is offered. The hierarchy allows to track features and conditions of the applications of various models. The examples of test tasks evaluation using one-parametrical knowledge evaluation model (binary, algebraic or fuzzy) are presented. An idea and an example of using the fundamentally new vector (multiparametric) knowledge evaluation model are discussed. This model allows to evaluate the quality of answers to the test task with respect to several criteria simultaneously.

Keywords:

pedagogical testing, multiple criteria, knowledge evaluation model, knowledge control, truth degree, test tasks, automated knowledge testing

Reference index:

Igor Rudynsky, E.M. Askerov, M.A. Emelin, (2008), Multiple criteria vector testing results evaluation model, Multiple Criteria Decision Making (3), pp. 215-222

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Scopus citations in 1 paper(s):
  1. Nurbekova, Z., Tokzhigitova, N., Jarassova, G., Assainova, A., & Nurbekov, B. (2017). Multi-criteria assessment of students' study achievements in visual programming. Man in India, 97(13), 397-423