Teaching quality assessment system based on big data

Abstract

The present invention discloses a teaching quality assessment system based on big data. The system comprises a student terminal-score analysis module, a teacher terminal-score analysis module, a school terminal-teaching quality analysis module and an education bureau terminal-teaching quality analysis module; the teacher terminal-score analysis module is configured for teachers to perform browsing and analysis of the administered class test scores; the school terminal-teaching quality analysis module is configured for school administrators to perform browsing and analysis of the administered class test scores; and the education bureau terminal-teaching quality analysis module is configured to the education bureau managers to perform browsing and analysis of the administered region school test scores. Through the analysis of test scores each time, the teaching quality assessment system based on big data can obtain each layer of score dimension reports which are displayed for each role, and carries out each comparison mode to provide reliable scientific basis for improvement of the teaching level assessment through lateral comparison and vertical comparison.

Description

technical field [0001] The invention relates to a teaching quality evaluation system, in particular to a teaching quality evaluation system based on big data. Background technique [0002] Teaching quality evaluation is an important part of the school's comprehensive ability test for teachers. At present, most of the teaching quality evaluation methods are manually scored and counted. The work content is cumbersome, error-prone, and the evaluation of physical fitness is unreasonable. With the development of the network, education and learning are becoming more and more networked, and various education and learning websites have emerged as the times require. However, most of the existing education and learning websites overemphasize the autonomy of students, while ignoring the importance of students' learning activities and learning effects. Evaluation and monitoring, educators cannot adjust the teaching content according to the students' learning situation, so it is difficul...

AI Technical Summary

Problems solved by technology

[0002] Teaching quality assessment is an important part of the school's comprehensive ability test for teachers. At present, most of the teaching quality assessment methods are manually scored and counted. The work content is cumbersome, error-prone, and the evaluation of physical fitness is unreasonable

With the development of the network, education and learning are becoming more and more networked, and various education and learning websites have emerged as the times require. However, most of the existing education and learning websites overemphasize the autonomy of students, while ignoring the importance of students' learning activities and learning effects. Evaluation and monitoring, educators cannot adjust the teaching content according to the students' learning situation, so it is difficult to meet the needs of students, resulting in a decline in learning effects, so educators evaluate their educational results in a timely manner, and adjust the teaching content in a timely manner according to the evaluation results. It is an important means to improve the quality of teaching

[0003] However, most of the existing educational evaluations adopt traditional methods, that is, educators assign teaching assignments to students, analyze according to the situation of students' completion of 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 disadvantages. This simple evaluation method often leads to the simple processing of massive data, and the information obtained by educators is only a small amount. 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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