Institute student employment prediction method and system

A forecasting method and technology for graduate students, applied in the field of graduate employment forecasting methods and systems, can solve the problems of low reference value for employment guidance work in colleges and universities, and achieve the effect of accurate forecasting

Pending Publication Date: 2022-04-01
RENMIN UNIVERSITY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the related fields and applications of educational data mining, there are endless methods of employment prediction for college students, but there are still the following limitations: 1) Previous studies have proposed employment development prediction methods based more on undergraduate data, but according to the current severe employment situation Due to the current situation, undergraduate graduates of many colleges and universities are more inclined to pursue further studies to escape the pressure of employment
However, em...

Method used

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  • Institute student employment prediction method and system
  • Institute student employment prediction method and system
  • Institute student employment prediction method and system

Examples

Experimental program
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Embodiment 1

[0060] like figure 1 As shown, this embodiment provides a graduate employment prediction method, including the following steps:

[0061] 1) Based on the data of graduate students and their corresponding tutor data, build a heterogeneous network of teacher-student relationships, specifically:

[0062] 1.1) Obtain the data of previous graduate students and their corresponding supervisor data, and establish a graduate student information database and a supervisor information database respectively.

[0063] Specifically, postgraduate data includes basic data, academic data, and employment destination, among which basic data includes gender, major, and family location, etc., and academic data includes school grades, English proficiency, and affiliated tutors.

[0064] Specifically, the tutor data includes personal introduction, research direction, education experience, work experience, lecture courses, scientific research projects, scientific research achievements, part-time socia...

Embodiment 2

[0099] This embodiment provides a graduate employment prediction system, including:

[0100] The model construction module is used to construct an employment prediction model based on the teacher-student relationship network based on the graduate student data and their corresponding supervisor data.

[0101] The prediction module is used to obtain the data of the graduate students to be predicted and their corresponding supervisor data, and determine the employment orientation type of the graduate students to be predicted according to the employment prediction model constructed.

[0102] In a preferred embodiment, the postgraduate employment prediction system further includes a data processing module, which is used to obtain the data of past graduate students and their corresponding supervisor data, as well as obtain the data of graduate students to be predicted and their corresponding supervisor data, and process the acquired data preprocessing.

[0103] In a preferred embod...

Embodiment 3

[0112] This embodiment provides a processing device corresponding to the graduate employment prediction method provided in Embodiment 1. The processing device may be a processing device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, etc., to execute The method of Example 1.

[0113] The processing device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. A computer program that can run on the processing device is stored in the memory, and the processing device executes the graduate employment prediction method provided in Embodiment 1 when running the computer program.

[0114] In some implementations, the memory may be a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory.

[0115] In other implemen...

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Abstract

The invention relates to a postgraduate employment prediction method and system, and the method is characterized in that the method comprises the steps: constructing an employment prediction model based on a teacher-student relation network based on the postgraduate data and the corresponding tutor data; the to-be-predicted graduate student data and the corresponding tutor data are obtained, the employment orientation type of the to-be-predicted graduate student is determined according to the constructed employment prediction model, employment of the graduate student can be predicted more comprehensively and accurately, and the method can be widely applied to the field of employment prediction.

Description

technical field [0001] The present invention relates to the fields of the Internet and big data, in particular to a graduate employment prediction method and system. Background technique [0002] In recent years, facing the increasingly serious employment pressure of graduates, many colleges and universities have carried out various employment guidance activities, but most of the employment guidance work generally has problems such as lack of pertinence and mere formality. It does not benefit students who really need help. With the construction and development of smart campuses and education informatization in colleges and universities, many colleges and universities have a complete student management system, graduate information management system and other student management information systems, as well as various card readers, access control and other data reading systems. With the collection equipment, a large amount of educational data has been accumulated. However, th...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/10G06F16/2458G06F16/28G06N3/04G06N3/08
Inventor 杜玮许伟何明栩
Owner RENMIN UNIVERSITY OF CHINA
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