Vector Modeling for Diagnostics of Future Mathematics Teacher Methodical Training in Higher School
Andrei V. Dorofeev 1 * , Svetlana E. Chirkina 2, David V. Gagloev 3, Tatyana N. Savina 4
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1 Bashkir State Pedagogical University named after M. Akmullah, Ufa, RUSSIA
2 Kazan (Volga region) Federal University, Kazan, RUSSIA
3 Peoples’ Friendship University of Russia (RUDN University), Moscow, RUSSIA
4 National Research Mordovia State University, Saransk, RUSSIA
* Corresponding Author

Abstract

The relevance of the present research is defined by the necessity of improvement of methodical training of mathematics teacher in a higher educational institution on the basis of multi-component diagnostics of competencies which represent the multidimensional result of education. Such diagnostics is preferable to be carried out by means of multidimensional vectors which allow not only assessing the educational process from different points of view but also predicting correction of its problematic zones. Purpose of the article is to develop vector method for diagnostics of future mathematics teachers’ methodic competencies. The proposed method of vector modeling promotes qualitative and quantitative assessment of the results of methodical training of future mathematics teacher from the point of view of intensity (by means of absolute characteristics) and orientation (in relation to cognitive, activity or value-based components). The article determines such directions of the model of mathematics teacher methodical training as cognitive, social and humanitarian, operational-activity-related, research and methodical. Each of them corresponds to certain competence: information-methodological, social interaction, individual cognitive activity, self-organization and self-management and also system-activity-related. Criteria for assessment of competencies on the basis of performance of methodical oriented practice tasks and projects were developed.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.29333/ejmste/94603

EURASIA J Math Sci and Tech Ed, 2018 - Volume 14 Issue 12, Article No: em1617

Publication date: 25 Aug 2018

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