KFU. Card publication. Dynamic Estimation of Significant Factors of Forming a University Ranking in the Context of Transition to an Information Society

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DYNAMIC ESTIMATION OF SIGNIFICANT FACTORS OF FORMING A UNIVERSITY RANKING IN THE CONTEXT OF TRANSITION TO AN INFORMATION SOCIETY

Form of presentation

Articles in international journals and collections

Year of publication

2019

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Authors, employees of KFU

Kirilova Galiya Ildusovna, author

Bibliographic description in the original language

Kirilova, G. I., Grunis M. L., Gilmeeva, R. Kh. Dynamic Estimation of Significant Factors of Forming a University Ranking in the Context of Transition to an Information Society // Proceedings IFTE-2019. Part of: V International Forum on Teacher Education: Part II: Educational Environment and Management . 2019. P. 989-995

Annotation

Proceedings IFTE-2019

Keywords

educational organization ranking; significant factors; analysis algorithm; education system actors

The name of the journal

Proceedings IFTE-2019

URL

https://ap.pensoft.net/article/22150/download/pdf/354182

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=229178&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kirilova Galiya Ildusovna	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Kirilova, G. I., Grunis M. L., Gilmeeva, R. Kh. Dynamic Estimation of Significant Factors of Forming a University Ranking in the Context of Transition to an Information Society // Proceedings IFTE-2019. Part of: V International Forum on Teacher Education: Part II: Educational Environment and Management . 2019. P. 989-995	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=229178&p_lang=2	ru_RU
dc.description.abstract	Proceedings IFTE-2019	ru_RU
dc.description.abstract	The paper draws attention to the comparative dynamics of university ranking factors for the last five years (2013- 2018). The period under review is characterized by an active transition to the information society. The article deals with a relevant problem of identifying factors in the educational organization ranking formation. These factors are significant in the period of transition to an information society. The aim of the research is development and pilot approbation of the author's algorithm of dynamic subject-oriented analysis on factors forming a ranking of an educational institution. The basic methods of this research include: factor analysis for the university ranking formation, theoretical and experimental substantiation of the author's algorithm of dynamic subject-oriented analysis, statistical methods of comparison of teachers and heads of educational organizations, a uniform experimental basis of interpretation and prediction of dynamics of the ranking reflection in the organization's information environment. The author's algorithm is based on the mechanisms of factor analysis of subjective representations. The dynamic basis of the author's algorithm includes the analysis of stability and sustainability of the considered factors observed in the questionnaire surveys conducted in the period from 2013 to 2018. The poll respondents were 150 leaders and pedagogical staff of technical schools and colleges of the Russian Federation. The subjective focus of the author's algorithm consists of separate opinions of teachers and managers on the educational organization ranking. The significance of a number of factors in the ranking structure, which remain relevant for five years, is confirmed. Among such factors are: the developed information and educational environment, the faculty capacity, the number of accredited specialties and the issuance of degree certificates. The ranking structure revealed the most dynamic positions with a high significance and output beyond the limits of the previously established statistical deviation. In addition, there are factors, the priority of which has been identified recently, for example, the factor of demand by entrants, recommended by the management, and the factor of research activity that was recommended by teachers. The predicted changes for the near and distant future were also revealed. We draw a conclusion about the applicability of the proposed algorithm to identify common factors. The role of education system actors in the formation of university rankings is determined. In the open information environment the algorithm contributes to dynamic forecasting for the near and distant future.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Dynamic Estimation of Significant Factors of Forming a University Ranking in the Context of Transition to an Information Society	ru_RU
dc.type	Articles in international journals and collections	ru_RU