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

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. Introduction Big data [1] is bringing great changes in human work, life and thinking, and has also strongly impacted the entire education system. It is becoming a subversive force driving innovation and reform of the education system. Compared with the educational data collected by traditional methods, educational big data [2] has the advantages of real-time, continuous, comprehensive and natural. The data is mostly collected with the knowledge of users, and analyzed by simple statistical analysis methods. However, education big data can collect the static and dynamic data during the whole teaching process [3]. It can continuously record the data such as teaching materials, interactive reflection and students' residence time for different knowledge points without affecting normal teaching activities. And we can use different applications to analyze and process data of different complexity or depth. Researchers consider the application of education big data from different perspectives. Professor Zhu [4] explored the scientific paradigm. Applying big data to the field of educational technology, Zhu proposes a personalized adaptive learning system supported by data. According to Zheng and Liu [5], education big data is mainly used to support education evaluation and education and teaching decisions. Hu and Wang [6, 7] believe that evaluating and predicting the changing educational forms can promote the scientific and effectiveness of educational decision-making. So that we can achieve a complete, comprehensive and dynamic quality control system. Yang [8]and other researchers believe that education big data can promote all aspects such as formulating scientific policies, balancing education in different regions, improving the quality of school education, optimizing the curriculum system and teaching effects, and promoting the individualized development of students. Education big data brings out a new architecture and thinking mode. The method can weaken the analytical model and directly analysis the research target. It can study the law of “small phenomenon” through data aggregation, can study the multi-dimensional data fusion of individuals, and analyze the time series and spatial dimensional dynamics of target objects. Faced with various education businesses, education big data technology has exerted great influence on the management, teaching, learning, scientific research and evaluation of education. This paper aims to use the big data to provide a strategic reference scheme to adjust the balance of educational resources from the perspective of the application of big data in education. We design an 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Social Science, Education and Humanities Research, volume 376