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Research on the Application of Big Data in Teaching Quality Monitoring Platform of Local Colleges and Universities
Jiaming Zhong, Lijuan Ye
228 - 236
10.3233/FAIA220101
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 352: Modern Management based on Big Data III
Abstract

Purpose:

Through analyzing the characteristics of higher education, a teaching quality monitoring big data platform of local colleges and universities is constructed.

Methods:

The data base of basic teaching state is applied to the teaching quality monitoring system, to improve the information gathering, processing, and feedback ability of quality monitoring, as well as to enhance the working efficiency and quality of monitoring.

Conclusion:

The platform framework consists of business management information system, database, data analysis, data application and so on.

Suggestions:

Based on database, the platform input the systematic data of all kinds of businesses in the data center into database, offering fundamental data support to systems like state database, academy evaluation, and application for the first-of-class majors. Then, these data can be obtained automatically, and processed to the fundamental basis required by all the systems, providing teaching quality monitoring and evaluation, and big data analysis for both universities and its affiliated institutes. On the other hand, the data generated by the system can be pushed to the data center of the university.

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