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The method of learning outcomes assessment based on fuzzy relations

Mreła A., Sokolov O., Urbaniak W.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2019

Vol. 67, nr 3

527--533

The paper presents the method of assessment of learning outcomes acquirement by students. The analysis is based on the results of the final matriculation exam in mathematics. For crisp and both types of fuzzy relations, cut scores (passing scores) can be defined along with the method of preparing rankings of students. The advantage of applying type 2 fuzzy relations is the lack of the necessity for experts to agree to one level (one number) of verification of learning outcomes by items created for the examination. Based on the results of the exam and experts’ knowledge, the decision support system for calculating the levels of learning outcomes acquirement, making decisions about passing the examination and preparing rankings of students, can be developed. Additionally, the rank reversal phenomenon does not burden the proposed method.

Methods for Refining Assessment of Test-Takers Based on Item Response Theory Model

Sokolov O., Molchanova O., Urbaniak W.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2011

Vol. 15, No 2

191-202

This research is devoted to assessment methods used in different test systems, including e-learning systems. The methods considered here are based on classical test theory and item response theory (IRT). We propose a new approach for improving the quality of assessment by diversifying evaluation points.