Failing credit prediction method, system and device for students in schools, and storage medium

A prediction method and technology for students, applied in the field of campus learning, can solve the problem of low accuracy in the prediction of passing grades, and achieve the effect of improving the accuracy

Pending Publication Date: 2021-03-09
武汉朱雀闻天科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, it is necessary to provide a method, system, device, and computer-readable storage medium for predicting academic scores of students at school, so as to solve the problem of low prediction accuracy of academic scores

Method used

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  • Failing credit prediction method, system and device for students in schools, and storage medium
  • Failing credit prediction method, system and device for students in schools, and storage medium
  • Failing credit prediction method, system and device for students in schools, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] The embodiment of the present invention provides a method for predicting academic scores of students in school, and its flow chart is as follows: figure 1 As shown, the method includes the following steps:

[0031] S1. Obtain basic student information, student grades, student card data, library admission data, borrowing data, and Internet access data;

[0032] S2. Generating feature factor data from the basic student information, student grades, student card data, library admission data, borrowing data, and online data;

[0033] S3. Select a regression task model, and use the regression task model and feature factor data to train and obtain a prediction model for academic scores;

[0034] S4. Re-collect the student's eigenfactor data, and use the eigenfactor data and the prediction model of the student's failing grade to obtain the student's passing grade.

[0035] The above-mentioned technical solution obtains basic student information, student grades, student card d...

Embodiment 2

[0112] The present invention provides a system for predicting academic scores of students in school, and its structural block diagram is as follows: image 3 As shown, it includes data acquisition module, feature factor generation module, model acquisition module and academic score prediction module;

[0113] The data acquisition module is used to acquire basic student information, student grades, student card data, library admission data, borrowing data and Internet access data;

[0114] The eigenfactor generation module is used to generate eigenfactor data from the basic student information, student grades, student card data, library admission data, borrowing data, and Internet access data;

[0115] The model acquisition module is used to select a regression task model, and utilizes the regression task model and eigenfactor data to train and obtain a score prediction model;

[0116] The module for predicting failing subjects is used to re-acquire the student's characteristi...

Embodiment 3

[0118] An embodiment of the present invention provides a device for predicting academic scores of students in school, including a processor and a memory, and a computer program is stored in the memory, and when the computer program is executed by the processor, the implementation as described in Embodiment 1 is realized. The above-mentioned method for predicting the academic scores of students in school.

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PUM

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Abstract

The invention relates to a failing credit prediction method, system and device for students in schools and a storage medium. The method comprises the following steps: obtaining student basic information, student scores, student all-purpose card data, library entry data, borrowing data and Internet surfing data; generating characteristic factor data according to the student basic information, the student scores, the student one-card data, the library entry data, the borrowing data and the internet surfing data; selecting a regression task model, and training by utilizing the regression task model and the characteristic factor data to obtain a failing credit prediction model; and re-collecting the characteristic factor data of the students, and obtaining failing credits of the students by utilizing the characteristic factor data and the failing credit prediction model. According to the failing credit prediction method for students in schools, accuracy of failing credit prediction is improved.

Description

technical field [0001] The present invention relates to the technical field of campus learning, in particular to a method, system, device, and computer-readable storage medium for predicting academic scores of students in school. Background technique [0002] Every year, a large number of college students are expelled from school because they cannot complete their studies. It is a huge blow to the students themselves and their families, and it is a huge waste of resources for colleges and universities. How to detect students who have academic difficulties in advance and intervene to avoid tragedies? A topic worthy of in-depth study. The prediction models used in existing solutions are usually aimed at a single data source, and each data source is different. The model needs to be adjusted for the data source, which is not universal and the prediction accuracy is not high. Contents of the invention [0003] In view of this, it is necessary to provide a method, system, devic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/20G06N5/00G06N20/00G06N20/10G06N20/20
CPCG06Q10/04G06Q50/205G06N20/00G06N20/10G06N20/20G06N5/01
Inventor 吴品章孙含元余锦胡希
Owner 武汉朱雀闻天科技有限公司
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