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Difficult student recognition and early warning method and system based on big data analysis

An early warning system and big data technology, applied in the field of educational data processing, can solve problems such as difficult processing of multi-source heterogeneous data for students, and achieve the effect of ensuring data quality and improving analysis efficiency

Pending Publication Date: 2021-02-26
CHINA THREE GORGES UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a difficult student identification and early warning method and system based on big data analysis, which uses the technical means of the fuzzy number sequence pattern recognition model to solve the difficulty in processing students' multi-source heterogeneous data in the process of identifying difficult students. The problem

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  • Difficult student recognition and early warning method and system based on big data analysis
  • Difficult student recognition and early warning method and system based on big data analysis
  • Difficult student recognition and early warning method and system based on big data analysis

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Embodiment 1

[0078] A method for identification and early warning of difficult students based on big data analysis, comprising the following steps:

[0079] S1. Collect the comprehensive data of the students, and obtain the students' school system data and public data of social networks. Further, step S1 includes the following steps:

[0080] S11. Obtain the data of students at school and the public data of social networks;

[0081] S12. Extract the basic information, grade information, attendance information, family income information, consumption information and social information of the students.

[0082] Cooperate with the relevant departments of the school to obtain the data of the students in the school. The main collection content is the data of the student's educational administration system, the data of the academic system, and the data of the logistics system. The public data of social networks such as Sina Weibo, QQ Zone, etc. dynamically extract students’ social information fr...

Embodiment 2

[0133] A difficult student identification and early warning system based on big data analysis, including a main control module and a human-computer interaction interface. The main control module is used to realize student economic grading and economic grading early warning;

[0134] The human-computer interaction interface is used for data interaction, which is convenient for managers to better operate and manage the system.

[0135] In the preferred solution, the main control module includes a data acquisition module, a data cleaning module, a data screening module, a data mining module and an early warning judgment module.

[0136] The data acquisition module is used to obtain student economics, life, learning information data and student social network speech, dynamic data, use itchat library in python, selenium library, and school database permissions to capture various data of students in school, from WeChat circle of friends , Sina Weibo, Qzone and other social network p...

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Abstract

The invention provides a difficult student recognition and early warning method and system based on big data analysis. The method comprises the steps: judging whether a student is difficult or not andhow the difficulty degree of the student is according to the comprehensive analysis of the economy, life and learning information database data of the student in a school and the social network speech and dynamic data of the student; according to the invention, the system pressure of processing student economy related data in the process of recognizing difficult students is reduced, and the reasonability and accuracy of judging the real economic condition of students are improved.

Description

technical field [0001] The invention relates to the field of educational data processing, in particular to a method and system for identification and early warning of difficult students based on big data analysis. Background technique [0002] As an important part of the big data branch, educational data is of great significance for understanding the basic situation of students and helping students learn, grow and live better. For many colleges and universities, they need a student management system that can help solve the problem of poverty alleviation, so as to ensure that the quality of education of poor students is not affected by poverty. At present, the traditional way of identifying students with difficulties in colleges and universities mainly relies on the "Survey Form for Students and Families in Colleges and Universities" filled out by students. However, due to the opacity of specific family income information, asymmetric family information, and the need to take ...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/2458G06F16/27G06F16/25G06F16/28G06F16/16G06F16/172G06F16/182G06Q50/00G06Q50/20
CPCG06F16/215G06F16/2465G06F16/285G06F16/283G06F16/258G06F16/27G06F16/172G06F16/16G06F16/182G06Q50/01G06Q50/205Y02D10/00
Inventor 李孟凡冯甘雨郑伯涛周晨张驰任权舒凡娣吴昶胡祁敏唐天意
Owner CHINA THREE GORGES UNIV