Version 1
: Received: 10 May 2023 / Approved: 11 May 2023 / Online: 11 May 2023 (13:26:38 CEST)
How to cite:
Min, G.; Lin, M.; Liu, Y.; Li, Z. Research on the Evaluation Model of School Management Quality in the Compulsory Education Stage Based on Big Data Technology. Preprints2023, 2023050856. https://doi.org/10.20944/preprints202305.0856.v1
Min, G.; Lin, M.; Liu, Y.; Li, Z. Research on the Evaluation Model of School Management Quality in the Compulsory Education Stage Based on Big Data Technology. Preprints 2023, 2023050856. https://doi.org/10.20944/preprints202305.0856.v1
Min, G.; Lin, M.; Liu, Y.; Li, Z. Research on the Evaluation Model of School Management Quality in the Compulsory Education Stage Based on Big Data Technology. Preprints2023, 2023050856. https://doi.org/10.20944/preprints202305.0856.v1
APA Style
Min, G., Lin, M., Liu, Y., & Li, Z. (2023). Research on the Evaluation Model of School Management Quality in the Compulsory Education Stage Based on Big Data Technology. Preprints. https://doi.org/10.20944/preprints202305.0856.v1
Chicago/Turabian Style
Min, G., Ying Liu and Zhe Li. 2023 "Research on the Evaluation Model of School Management Quality in the Compulsory Education Stage Based on Big Data Technology" Preprints. https://doi.org/10.20944/preprints202305.0856.v1
Abstract
With the spread of compulsory education emerged school management problems continued, and the quality of school management in compulsory education has attracted a great deal of attention in China. However, the application of information technology in the field is not yet detailed and wide, resulting in problems of heavy workload and high difficulty in the whole evaluation process. Accordingly, we use big data technologies such as Apache Spark, Apache Hive, and SPSS to carry out data cleaning, correlation analysis, dynamic factor analysis, principal component analysis, and visual display on 1760 sample data from 40 primary and secondary schools in Q Province in China, and constructs a model school management of quality evaluation in the compulsory education stage, which reduces the 22 management tasks required for previous evaluation to 5, greatly reducing the workload and difficulty of evaluation. It has improved the efficiency and accuracy of evaluation, and further promoted the simultaneous development of education of five domains and education equity in the compulsory education stage.
Keywords
quality evaluation of school management; compulsory education stage; big data technology; visualization techniques; evaluation models
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
