INTEGRATION OF FRACTAL AND NEURAL NETWORK TECHNOLOGIES IN PEDAGOGICAL MONITORING AND ASSESSMENT OF KNOWLEDGE OF TRAINEES

Abstract


The possibility of statement and solution of the problem of searching of theoretical justification and development of efficient didactic mechanisms of the organization of process of pedagogical monitoring and assessment of level of knowledge of trainees can be based on convergence of the leading psychological and pedagogical, mathematical, and informational technologies with accounting of the modern achievements in science. In the article, the pedagogical expediency of realization of opportunities of means of informational technologies in monitoring and assessment of the composite mathematical knowledge, in the management of cognitive activity of students is proved. The ability to integrate fractal methods and neural network technologies in perfecting of a system of pedagogical monitoring of mathematical knowledge of trainees as a part of the automated training systems (ATS) is investigated and realized in practice. It is proved that fractal methods increase the accuracy and depth of estimation of the level of proficiency of students and also complexes of intellectual operations of the integrative qualities allowing to master and apply cross-disciplinary knowledge and abilities in professional activity. Neural network technologies solve a problem of realization of the personal focused tutoring from positions of optimum individualization of mathematical education and self-realization of the person. The technology of projection of integrative system of pedagogical monitoring of knowledge of students includes the following stages: establishment of the required tutoring parameters; definition and preparation of input data for realization of integration of fractal and neural network technologies; development of the diagnostic module as a part of the block of an artificial intelligence of ATS, filling of the databases structured by system; start of system for obtaining the forecast. In development of the integrative automated system of pedagogical monitoring of knowledge the fact that individual evaluation test of tutoring of students is carried out on the basis of two parameters depths of assimilation of a concept, its interrelation with other concepts and assessment of size of the synergetic effect of integration of knowledge and activity of trainees is new. Experience of introduction and operation of the automated system of pedagogical monitoring and assessment of the level of knowledge on the basis of integration of fractal model operation and neural network technologies allowed to increase the level of objectivity of estimation of trainees, quality of management of the educational process, its effectiveness in general.


Svetlana N Dvoryatkina

Principal contact for editorial correspondence.
sobdvor@yelets.lipetsk.ru
Bunin Yelets State University Kommunarov str., 28, Yelets, Russia, 399770

Svetlana N. Dvoryatkina - Doctor of Pedagogical Sciences, Professor, Department of Mathematics and Teaching Methods, Bunin Yelets State University (Yelets, Russia).

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