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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.

Jakość danych empirycznych w badaniach naukowych

Mreła A.

Zeszyty Naukowe Akademii Morskiej w Gdyni

2004

nr 51

87-90

W artykule poddano analizie jakość danych uzyskanych z pomiaru i danych zbieranych przez Główny Urząd Statystyczny. Ponadto zbadano jakość danych przetwarzanych w trakcie ich opracowywania oraz jakość prognoz i błędy popełniane podczas predykcji.

In the paper there is considered the quality of data scientists get from experiments and from data collected by Statistical Offices. Moreover there is discussed the quality of data transferred during the process of scientific description and the quality of prognoses and mistakes which are made during the process of scientific anticipation.