##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Nov 30, 2022

Jian Shen

Qiang Luo  

Abstract

The development of school education depends on the quality of the education provided, and it is a key metric for assessing the effectiveness of schools in developing talent. Building specialized, intelligent education quality monitoring (EQM) databases is crucial for speeding EQM progress in the big data era. This article examines the development of regional EQM databases in the areas of operational procedure and logical structure based on the idea of data lakes by using the development of databases for the EQM data analysis system (DAS) in Suzhou City as a case study. The goal of this study is to assist in addressing the current issues with regional EQM data processing and ensuring EQM’s successful implementation.

##plugins.themes.bootstrap3.article.details##

Keywords

Education Quality Monitoring, Data Analysis System, Data Lake, Database

References
Campbell, C. (2017, 19 May). Top five differences between data lakes and data warehouses. Blue-Granite.com. Available at: https://www.bluegranite.com/blog/bid/402596/top-five-differences-between-data-lakes-and-data-warehouses

Guo, D. H. & Wang, H. Y. (2016). The implementation of compulsory education quality monitoring: A study based on the survey of 16 districts and counties in Tianjin. Journal of Tianjin Academy of Educational Sciences, 2016(4):32-35. [Chinese]

Li, L. Y. & Chen, H. J. (2020). Basic strategies and support mechanisms for promoting the construction of China’s basic education quality monitoring system. Journal of the Chinese Society of Education, 2020(3):68-73. [Chinese]

Li, L. Y., Ren, X. Q, & Jiang, Z. F. (2017). Regional compulsory education quality monitoring in China. Journal of the Chinese Society of Education, 2017(12):37-41. [Chinese]

Research Data Lifecycle. (n. d.). UK Data Service. [EB/OL]. Available at: http://www.data-archive.ac.uk/create-manage/life-cycle
Song, Y. D. & Luo, Q. (2021). Monitoring based on big data for more pertinent education for children: An analysis based on data from academic quality monitoring of 270816 junior middle school students in Suzhou. Future Educators, 2021(1):63-67. [Chinese]

State Council of China. (2020). The Overall Plan for Deepening Educational Evaluation Reform in the New Era. [EB/OL]. Available at: http://www.gov.cn/xinwen/2020-10/13/content_5551032.htm

Wang, Y. C. (2016). The research and development of provincial basic education quality monitoring tools. Times Education, 2016 (24): 33. [Chinese]

Xin, T. & Zhao, Q. (2020). Orientation, structure and support for basic education quality monitoring and evaluation system. Journal of the National Academy of Education Administration, 2020 (9): 16-23, 43. [Chinese]

Yang, Y. Y. (2019). How to utilize monitoring results of regional compulsory education quality: Reflections based on the use of monitoring results at the school level. Theory and Practice of Education, 39(26):3-6. [Chinese]

Zhang, A. L. (2010). Building a government-supported independent mechanism for basic education quality monitoring. Educational Measurement and Evaluation, 2010(8):12-15. [Chinese]

Zhang, M.Q., Fan, X. Z., Guo, K. Y., & Zhong, Y. (2016). The reform and development of education quality monitoring and evaluation under the concept of big data. Modern Education Journal, 2016 (3): 2-6. [Chinese]

Zhou, J. R. (2016). The mechanism for the construction of basic education quality monitoring. Shanghai Journal of Educational Evaluation, 5(5):1-7. [Chinese]
How to Cite
Shen, J., & Luo, Q. (2022). The Construction and Application of Regional Education Quality Monitoring Databases: A Case Study of Suzhou’s Education Quality Monitoring . Best Evidence in Chinese Education, 12(2), 1613–1628. https://doi.org/10.15354/bece.22.re031
Section
Review