| Abstract [eng] |
The quality of education and science is one of most important goals of our society. The work focuses on the problem of evaluating the quality of distance courses. Evaluation of quality of distance courses is performed by the experts who have special knowledge and skills in a particular field. While changing the group of experts, reducing and increasing the number of experts, and repeating evaluation, the results should differ. The influence of uncertainty based on the experts’ subjectivity is evaluated in different ways applying Fuzzy numbers theory and mathematical statistics methods. The proposed complex evaluation methodology is based on Bayes and stable multiple criteria decision making (MCDM) methods that enable to take into account experts subjectivity. By applying Bayes method, all the cumulative experience is used. This experience is connected with particular expert’s experience and flair. By applying stable MCDM method, certainty of evaluation results is ensured. The application of Fuzzy numbers is proposed to establish the weights of the quality criteria while performing pairwise comparison of the evaluation of independent experts’ group. The methodology presumes the distance course evaluation involves individuals of various activities who are interested in high quality education: lecturers, students, the staff of the distance learning centre, and the administration of the educational institution. This kind of diversified approach reflects different interests of the course participants, allows the possibility to improve the course according to the grades and observations of the participants. The proposed complex course quality evaluation methodology might be also applied in other quality evaluation similar tasks. |
