Student data traceability analysis method

An analysis method and analysis algorithm technology, applied in the field of retrospective analysis of student data, can solve problems such as inconvenient search, poor confidentiality, and complicated management of student data

Pending Publication Date: 2020-12-04
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In school educational administration management, the management of tens of thousands of student data will be involved. Most of the current management methods are based on document management, such as using excel and other software to store and manage student data in a unified manner. Management will have various problems such as software programs are easy to get stuck, inconvenient to find, and poor confidentiality
With more and more student data, the requirements for teaching efficiency, training effect, quality assessment, etc. are also increasing rapidly, making the management of student data more and more complicated and time-consuming
At present, there is still no effective student data management method that takes into account the confidentiality of students' personal information and the fast and stable data search and traceability.

Method used

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  • Student data traceability analysis method
  • Student data traceability analysis method
  • Student data traceability analysis method

Examples

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Embodiment Construction

[0049] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0050] figure 1 It is a flow chart of Embodiment 1 of a retrospective analysis method for student data in an embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps S101-S103:

[0051] S101: Obtain the tag value of the target student data to be traced;

[0052] S102: According to the preset traceability analysis algorithm, judge whether the tag value of the target student data can be traced back in the preset student data tag value set, and if so, perform step S103; wherein, the student data tag value set records Several tagged values ​​of existing student data;

[0053] In this embodiment, the storage mode of the...

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Abstract

The invention discloses a student data traceability analysis method, which is used for solving the problem that a stable and accurate student data traceability analysis method does not exist at present. The method comprises the steps of obtaining a mark value of to-be-traced target student data; judging whether the mark value of the target student data can be traced back in a preset student data mark value set or not according to a preset tracing analysis algorithm; and if the mark value of the target student data can be traced back in a preset student data mark value set, outputting the traced information of the existing student data. According to the method, the tracing value between the to-be-traced target student data and the preset student data is calculated, so that the purpose of quickly and accurately obtaining the tracing result from the preset student data is achieved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a retrospective analysis method for student data. Background technique [0002] In school educational administration management, the management of tens of thousands of student data will be involved. Most of the current management methods are based on document management, such as using excel and other software to store and uniformly manage student data. However, when the amount of data is large, use document Management will have various problems such as software programs are easy to get stuck, inconvenient to find, and poor confidentiality. With more and more student data, the requirements for teaching efficiency, training effect, quality assessment, etc. are also increasing rapidly, making the management of student data more and more complicated and time-consuming. At present, there is still no effective student data management method that takes into account the confidenti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20
CPCG06Q10/06398G06Q50/205
Inventor 许昭慧
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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