A teaching comprehensive analysis system based on educational big data

Abstract

The invention discloses a teaching comprehensive analysis system based on educational big data, including a data acquisition module, a data analysis module, a comprehensive situation processing module, a controller, a teaching research and judgment module, a data display module, a data comparison module and a personal performance module; The present invention is a combination of the classroom situation of class teaching and the situation between classes, through data quantification and calibration, and correction and analysis of differential formulas, to obtain the in-school situation of class teaching, and link it with the extracurricular situation of class teaching, and then through the data Quantitative calibration, preset comparison and assignment, and differential formula measurement and processing to form an all-round class teaching evaluation and analysis model for school and home situations, and to compare the scope and level of students' personal factors and teaching conditions together Combining processing to reduce the judgment interference brought by personal factors to the class situation, and then greatly improve the class accuracy of the analysis process 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

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