Teaching comprehensive analysis system based on education big data

Abstract

The invention discloses a teaching comprehensive analysis system based on education big data. The teaching comprehensive analysis system comprises a data acquisition module, a data analysis module, acomprehensive condition processing module, a controller, a teaching research and judgment module, a data display module, a data comparison module and a personal performance module, according to the invention, the classroom condition and the inter-class condition of class teaching are combined; data quantitative calibration and differential formula correction analysis are carried out; the school condition of class teaching is obtained; the information is associated with extracurricular conditions of class teaching; data quantitative calibration, preset comparison assignment and differential formula measurement processing are carried out; therefore, an omnibearing class teaching evaluation and analysis mode of the school condition and the home condition is formed. Moreover, the personal factor conditions of the students and the comprehensive teaching conditions are subjected to range comparison and hierarchical combination together, so that the judgment interference of personal factors on the class conditions is reduced, and the class accuracy of the analysis process is greatly improved on the basis of ensuring the comprehensiveness of the analysis source.

Description

technical field [0001] The invention relates to the technical field of teaching comprehensive analysis system, in particular to a teaching comprehensive analysis system based on educational big data. Background technique [0002] The comprehensive analysis of teaching mainly includes the quantitative statistical analysis of the quality activities and the causality analysis of the quality activities. Quantitative statistical analysis of quality activities can determine the range of quality changes based on the curve through the relevant percentage of the number of people assessed, the increase and decrease of the number of people, etc.; the causality analysis of quality activities can be done through school spirit, study style, class style and team environment, etc. Various research considerations are used to find out the restrictive factors and improve the overall teaching quality. [0003] In the document with the publication number CN107609736A, it is only based on the fa...

AI Technical Summary

Problems solved by technology

[0008] How to use an effective method to solve the existing data analysis of single classroom or extracurricular teaching situation, and it is difficult to connect classroom, extracurricular, or even inter-class to form classroom and inter-class The school situation expressed and the home situation expressed outside the classroom, and the two are combined together for an all-round processing of the class class, and there is still a lack of hierarchical comparison of the self-level situation with the class situation, which cannot be guaranteed in the analysis. Based on the comprehensiveness of sources, the class accuracy of the analysis process is greatly improved

Images