Research and Exploration of Educational Resource Balance Based on Data Analysis——A Case Study of Demonstration Schools in 13 Districts of Xi'an

DOI

10.2991/sschd-19.2019.53How to use a DOI?

Keywords

Education resource, Data analyses, SVM, Particle swarm optimization algorithm.

Abstract

According to the existing school evaluation standards, making a reasonable school resource development plan is an important guarantee to improve the competitiveness of the school and improve the teaching quality. This paper takes the schools in Xi'an as an example to expound the present situation of basic resource allocation in schools. The evaluation model is constructed based on least squares support vector machine (LS-SVM), and the resource allocation scheme is designed by particle swarm optimization algorithm. Finally, we put forward suggestions for improving the competitiveness and teaching quality of schools, and provide references for formulating scientific and reasonable school improvement plans.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zhanmin Wang
AU  - Jiayu Zhao
AU  - Rong Fei
AU  - Guangming Liu
AU  - Weiwei Shi
PY  - 2019/12
DA  - 2019/12
TI  - Research and Exploration of Educational Resource Balance Based on Data Analysis——A Case Study of Demonstration Schools in 13 Districts of Xi'an
BT  - Proceedings of the 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019)
PB  - Atlantis Press
SP  - 197
EP  - 203
SN  - 2352-5398
UR  - https://doi.org/10.2991/sschd-19.2019.53
DO  - 10.2991/sschd-19.2019.53
ID  - Wang2019/12
ER  -