The use of multifunctional statistical criteria in the development of technological aspects of self-design of students’ educational and professional activities
https://doi.org/10.20310/1810-0201-2020-25-189-23-30
EDN: syntoi
Abstract
Researchers in the humanities almost always have to deal with the problem of statistical processing of results and their interpretation. This is a rather laborious and painstaking work, which can be greatly simplified through the use of multifunctional statistical criteria. Within the framework of the study related to the problem of self-design of educational and professional activities of students, the analysis of the effectiveness of the introduction of technological elements using multifunctional criteria was carried out: φ* criterion – Fisher’s angular transformation and binomial criterion m. The statistical significance of the results of the introduction at a certain stage of the technology of the workshop is revealed, which makes it possible to study and apply the elements of self-management in the educational and professional activities of students. For promising purposes, it is proposed to create an automated system that implements the selection of the appropriate criterion for the problem to be solved and the verification of the statistical hypothesis put forward by the researcher.
About the Authors
T. A. ErinaRussian Federation
Tatyana A. Erina, Candidate of Pedagogy, Associate Professor of Applied Mathematics and Computer Modeling Department.
85 Pobedy St., Belgorod 308015, Russian Federation
N. N. Motkina
Russian Federation
Natalya N. Motkina, Candidate of Physics and Mathematics, Associate Professor, Associate Professor Mathematics Department.
85 Pobedy St., Belgorod 308015, Russian Federation
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Review
For citations:
Erina T.A., Motkina N.N. The use of multifunctional statistical criteria in the development of technological aspects of self-design of students’ educational and professional activities. Tambov University Review. Series: Humanities. 2020;25(189):23-30. (In Russ.) https://doi.org/10.20310/1810-0201-2020-25-189-23-30. EDN: syntoi