Distribution of the number of scientific and pedagogical staff of universities by work experience

Autor: Pinkovetskaia , Iuliia S.
Rok vydání: 2022
Předmět:
Zdroj: Revista Tempos e Espaços em Educação; v. 15 n. 34 (2022): Publicação Contínua; e17010
Revista Tempos e Espaços em Educação; Vol. 15 No. 34 (2022): Publicação Contínua; e17010
Revista Tempos e Espaços em Educação; Vol. 15 Núm. 34 (2022): Publicação Contínua; e17010
Revista Tempos e Espaços em Educação
Universidade Federal de Sergipe (UFS)
instacron:UFS
ISSN: 2358-1425
DOI: 10.20952/revtee.v15i34.17010
Popis: The purpose of our study was to assess the proportion of teachers with different work experience in relevant positions in higher education institutions in the total number of university teachers in each of the regions of Russia. In the course of the work, the indicators characterizing the proportion of teachers belonging to five groups by work experience of up to five years, from five to ten years, from ten to fifteen years, from fifteen to twenty years and more than twenty years in the total number of teachers working in higher educational institutions were evaluated. The study used official statistical information for 82 regions of Russia. We used the density functions of the normal distribution as models. The results of the study allowed us to draw conclusions: approximately every fourteenth teacher has worked in a teaching position for less than five years, every ninth teacher has worked in this position for five to ten years, every seventh teacher has worked in this position for ten to fifteen years, every fifth teacher has worked in this position for fifteen to twenty years. It is proved that the number of teachers with work experience up to twenty years was 52% and was slightly more than the number of teachers with work experience of more than twenty years (48%). The analysis showed the presence of a certain differentiation of the values of the considered indicators by region. The proposed methodological approach and the results obtained have originality and scientific novelty.
Databáze: OpenAIRE
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