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Comprehensive Management of Teaching Quality Driven by Educational Big Data

With the continuous development of information technology, the continuous improvement of information systems in colleges and universities, and the increasingly indispensable management of teaching in colleges and universities, the data in the field of education is constantly increasing, and big data technology is gradually being applied to the field of education. However, the traditional teaching management model ignores the importance of real-time data; the evaluation of teaching quality is mostly subjective, and lacks objectivity. The purpose of this article is to study the comprehensive management of university teaching quality driven by educational big data. This paper first analyzes the content of educational big data collection for different roles of teachers and students, then studies the big data collection principle, and then analyzes the main problems in the construction of the current higher education quality monitoring and evaluation platform. Aiming at the main existing problems, this article puts forward corresponding solutions. Based on this, this article designs and implements a university teaching management system based on big data. The system is mainly divided into a system administrator module, a teacher education administration module and a data center module. By testing the function and performance of the system, the data bug rate of the system is only 5%. The experimental results prove that the performance of the system designed in this paper can meet the actual needs.