THE CLUSTER ANALYSIS OF OUTCOMES OF THE ESTIMATION OF KNOWLEDGE IN SYSTEM OF CORRESPONDENCE COURSE WITH USE OF DISTANT EDUCATIONAL PROCESS ENGINEERINGS

Arefyev V.P, Mihalchuk А.А, Filipenko N.M

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The cluster analysis of quality of correspondence technical education on the basis of examination outcomes of the fourth semester on higher mathematics is carried out at distant network model of the organisation of correspondence education on an example of Institute of distant formation of Tomsk polytechnic university. Except examination outcomes (EX - the collected points for test examination in a condition on-line) in the analysis are used two more indicator: DT - a difference of the moments of the termination and the beginning of examination and IHW - the collected points for 4 individual home works. Within the limits of the cluster analysis the method of K-averages receives 10 cluster high-quality model of outcomes of an estimation of knowledge on the higher mathematics, 10 clusters distinguishing highly significantly not only on a population of indicators DT, EX, IHW, but also on each indicator. Within the limits of an analysis of variance are selected for each indicator homogeneous (differing not significant) groups of clusters. Qualitative classification of outcomes of an estimation of knowledge by higher mathematics in a nominal dial of the measurements, in detail registering structure of outcomes of an estimation of the knowledge acquired by the student is spent at correspondence form of study with use of modern distant educational technologies (DET). Outcomes similar classification outcomes of an estimation of knowledge can be considered at introduction modern informational educational the Internet - technologies in the organisation of correspondence course for security of quality of formation and control of knowledge.

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Арефьев В.П, Михальчук А.А, Филипенко Н.М КЛАСТЕРНЫЙ АНАЛИЗ РЕЗУЛЬТАТОВ ОЦЕНИВАНИЯ ЗНАНИЙ В СИСТЕМЕ ЗАОЧНОГО ОБУЧЕНИЯ С ИСПОЛЬЗОВАНИЕМ ДИСТАНЦИОННЫХ ОБРАЗОВАТЕЛЬНЫХ ТЕХНОЛОГИЙ // Научное обозрение. Физико-математические науки . 2020. № 1. С. 16-16;
URL: https://physics-mathematics.ru/en/article/view?id=6 (дата обращения: 24.06.2026).