Technique of identification of weighting coefficients of themes complexity in the distance course on basis of Saati’s algorithm

The lecture material structured provides high efficiency of its perception by students. Text quantization is one of the types for structurization. Today, quantitative methods for quality assessment of educational text quantization are being developed. Identification of key elements of the theme and formation of a test tasks set for knowledge control on these elements makes it possible to find more precisely most difficult course elements, for students’ comprehension, which can be modified in the sequel, id est simplification of style of elements presentation, material expansion with practical examples, and etc. At the same time there is a problem of definition of a total evaluation considering complexity of the course. The knowledge of an aprioristic complexity assessment for theme acquisition in the distance course, that is the assessment preceding the theme under study by students and predicting the statistical difficulty, is necessary for the teacher, on the one hand, for creation of a distance course with the didactic characteristics preplanned, and, on the other hand, for a fair assessment of current and total results of training on the basis of which the management of the learning process is set up. This article describes an approach to determination of weighting coefficients of theme complexity in the distance course. We offer to use the Saati’s method for analysis of hierarchies for pairwise comparison of themes complexity of the distance course in order to determine their weighting coefficients. The technique of determination of weighting coefficients of theme complexity in the distance course is described by the example of a distance course “Machine-dependent Languages”. The paper highlights the procedure of expert assessment checking the consistency, which is presented in the form of a matrix of pairwise comparisons of theme complexity in the distance course. It presents the results of the comparative analysis of ontological representation and legibility of distance course themes with their weighting coefficients complexity values. The correlation coefficient between text legibility of a distance course theme and complexity for its acquisition confirms the consistency of the complexity coefficients received for distance course themes. The approach considered for determination of weighting coefficients of themes complexity in the distance course on basis of T. Saati’s algorithm can be taken as a principle for different distance learning systems to increase the accuracy of measurement of knowledge gained by users. The weighting coefficients of the course theme received can be used as target indicators for problems of clustering and classification of distance course themes in such entrance indicators as quantitative criteria of quantization quality of the course and quantitative metrics of training course complexity. Thus, to ensure a certainty of assessments and convenience of practical use the procedure of estimation should be realized at a technological level with application of information and communication technologies (ICT).

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