Development of cluster models for municipal educational institutions of Tomsk region

Abstract

This paper describes the cluster models construction for schools in the Tomsk region. K-means method is used to distribute objects between clusters using the multidimensional vector of variables (socio-economic status of students, qualification and age of teaching staff, students' participation in academic competitions, students in difficult living conditions, etc.). The cluster models were constructed for urban schools (regional center), country and ungraded schools. The computer simulation using STATISTICA system was performed due to large amount of source data and complexity of the developed models. The analysis showed the relationship between the values of cluster variables and the results of Unified State Exams (USE).

Original language	English
Article number	012012
Journal	Journal of Physics: Conference Series
Volume	1694
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1694/1/012012
Publication status	Published - 28 Dec 2020
Event	7th International Young Scientists Conference on Information Technology, Telecommunications and Control Systems, ITTCS 2020 - Innopolis, Russian Federation Duration: 17 Dec 2020 → 18 Dec 2020

ASJC Scopus subject areas

Physics and Astronomy(all)

Access to Document

10.1088/1742-6596/1694/1/012012

Fingerprint Dive into the research topics of 'Development of cluster models for municipal educational institutions of Tomsk region'. Together they form a unique fingerprint.

Cite this

@article{e6ecd685d6294297ae1446deb8111911,

title = "Development of cluster models for municipal educational institutions of Tomsk region",

abstract = "This paper describes the cluster models construction for schools in the Tomsk region. K-means method is used to distribute objects between clusters using the multidimensional vector of variables (socio-economic status of students, qualification and age of teaching staff, students' participation in academic competitions, students in difficult living conditions, etc.). The cluster models were constructed for urban schools (regional center), country and ungraded schools. The computer simulation using STATISTICA system was performed due to large amount of source data and complexity of the developed models. The analysis showed the relationship between the values of cluster variables and the results of Unified State Exams (USE).",

author = "Kvasnikova, {I. K.} and Lepustin, {A. V.} and Katsman, {Yu Ya} and Lepustina, {E. V.}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 7th International Young Scientists Conference on Information Technology, Telecommunications and Control Systems, ITTCS 2020 ; Conference date: 17-12-2020 Through 18-12-2020",

year = "2020",

month = dec,

day = "28",

doi = "10.1088/1742-6596/1694/1/012012",

language = "English",

volume = "1694",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

number = "1",

}

TY - JOUR

T1 - Development of cluster models for municipal educational institutions of Tomsk region

AU - Kvasnikova, I. K.

AU - Lepustin, A. V.

AU - Katsman, Yu Ya

AU - Lepustina, E. V.

PY - 2020/12/28

Y1 - 2020/12/28

N2 - This paper describes the cluster models construction for schools in the Tomsk region. K-means method is used to distribute objects between clusters using the multidimensional vector of variables (socio-economic status of students, qualification and age of teaching staff, students' participation in academic competitions, students in difficult living conditions, etc.). The cluster models were constructed for urban schools (regional center), country and ungraded schools. The computer simulation using STATISTICA system was performed due to large amount of source data and complexity of the developed models. The analysis showed the relationship between the values of cluster variables and the results of Unified State Exams (USE).

AB - This paper describes the cluster models construction for schools in the Tomsk region. K-means method is used to distribute objects between clusters using the multidimensional vector of variables (socio-economic status of students, qualification and age of teaching staff, students' participation in academic competitions, students in difficult living conditions, etc.). The cluster models were constructed for urban schools (regional center), country and ungraded schools. The computer simulation using STATISTICA system was performed due to large amount of source data and complexity of the developed models. The analysis showed the relationship between the values of cluster variables and the results of Unified State Exams (USE).

UR - http://www.scopus.com/inward/record.url?scp=85099037305&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85099037305&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1694/1/012012

DO - 10.1088/1742-6596/1694/1/012012

M3 - Conference article

AN - SCOPUS:85099037305

VL - 1694

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012012

T2 - 7th International Young Scientists Conference on Information Technology, Telecommunications and Control Systems, ITTCS 2020

Y2 - 17 December 2020 through 18 December 2020

ER -

Development of cluster models for municipal educational institutions of Tomsk region

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this