Big data-based teaching quality assessment system

Abstract

The invention relates to a big data-based teaching quality assessment system. The system comprises a student end-result analysis module, a teacher end-result analysis module, a school end-teaching quality analysis module and an education bureau end-teaching quality analysis module, wherein the teacher end-result analysis module is used for teachers to browse and analyze examination results of managed classes by using the system; the school end-teaching quality analysis module is used for school managers to browse and analyze examination results of managed school classes by using the system; and the education bureau end-teaching quality analysis module is used for education bureau managers to browse and analyze examination results of managed regional schools by using the system. Through result analysis of all previous examinations, result dimension reports are quickly obtained and displayed for role users, and a respective comparison mode is executed; and through transverse and longitudinal comparison, a reliable scientific basis is provided for improving teaching level assessment.

Description

technical field [0001] The invention relates to the technical fields of education informatization and data processing, and in particular to a teaching quality evaluation system based on big data. Background technique [0002] Improving teaching quality is an eternal topic of higher education, and smart education provides a new opportunity for improving teaching quality. In recent years, with the acceleration of classroom informatization reform, teachers in colleges and universities urgently need an effective means to obtain students' mastery of teaching content immediately within the limited teaching time of the classroom; Carry out statistics and processing to realize the evaluation of teaching classroom quality. At the same time, students also hope to be able to express their satisfaction with the teacher's teaching performance in class. [0003] The teaching quality evolution optimization system is a prototype system developed according to the multidimensional factors a...

AI Technical Summary

Problems solved by technology

[0004] However, most of the existing educational evaluations use traditional methods, that is, educators assign teaching assignments to students, analyze according to the situation of students completing the teaching assignments, understand the students' learning situation, and then adjust the teaching content according to the students' learning situation. This traditional educational evaluation method has the following shortcomings. This simple evaluation method often leads to the simple processing of massive data, and the educators only obtain a small amount of information. A large amount of valid information is wasted in this process, and educators cannot accurately As a result, the adjustment of teaching content cannot fully meet the needs of students, and the teaching cannot be improved in real time, so that it cannot provide a scientific basis for improving the teaching level.

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