| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2019 |
| Язык | английский |
|
Кирилова Галия Ильдусовна, автор
|
| Библиографическое описание на языке оригинала |
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 |
| Аннотация |
Proceedings IFTE-2019 |
| Ключевые слова |
educational organization ranking; significant factors; analysis algorithm; education system actors |
| Название журнала |
Proceedings IFTE-2019
|
| URL |
https://ap.pensoft.net/article/22150/download/pdf/354182 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=229178 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Кирилова Галия Ильдусовна |
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/?p_id=229178 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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