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Student ranking prediction method based on campus data

A forecasting method and technology for students, applied in forecasting, data processing applications, instruments, etc., can solve the problems of difficult quantification of student behavior and no application methods, and achieve the effect of releasing value

Inactive Publication Date: 2016-08-24
CHENGDU XUNDAO TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, due to the difficulty of quantifying student behavior and other issues, the application of big data in the field of education is still in the research stage, and no effective application method has yet emerged.

Method used

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  • Student ranking prediction method based on campus data
  • Student ranking prediction method based on campus data
  • Student ranking prediction method based on campus data

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Embodiment

[0024] figure 1 It is a flow chart of the method for predicting student ranking based on campus data in the present invention. Such as figure 1 Shown, the present invention is based on the student ranking prediction method of campus data and comprises the following steps:

[0025] S101: Student data collection:

[0026] First of all, it is necessary to collect the data of all students in the school. The student data comes from various functional departments of the school and has a heterogeneous structure, including structured basic student information data and time-serialized student campus life trajectories. Student data includes performance data and behavior data, where performance data includes the course types, credits and grades of all courses of students, and the situation of each component of grades (such as usual grades, mid-term grades, etc.), behavior data includes students Records of campus cards used in various places, such as consumption records of students fet...

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Abstract

The invention discloses a student ranking prediction method based on campus data, comprising the following steps: collecting the data of all students, including performance data and behavior data; cleaning the student data, and normalizing the non-time data items; extracting the behavior characteristic vector of each student from the processed data, wherein behavior characteristics include performance characteristic, effort degree characteristic and law-of-life characteristic; reducing the dimension of each behavior characteristic vector; subtracting the behavior characteristic vector of each of the other students from the dimension-reduced behavior characteristic vector of each student to get a difference characteristic vector, and inputting the difference characteristic vectors into a classifier to get corresponding tag values, and summing the tag values to get the score of the student; sorting the scores of all the students to get the predicted ranking of each student. According to the invention, the campus data of students is analyzed, the learning habits and behavior characteristics of students are described using data, and the ranking of each student is predicted and used as a reference for student education.

Description

technical field [0001] The invention belongs to the technical field of big data analysis and mining, and more specifically, relates to a student ranking prediction method based on campus data. Background technique [0002] How to understand students' psychology, master students' abnormal behavior, predict students' learning status and provide personalized counseling has become a problem and challenge faced by many colleges and universities. In recent years, with the technological revolution driven by "data and computing", big data has become an important factor influencing the Internet information technology industry. How to introduce big data into the field of education, as a strong boost to promote educational reform and lead educational innovation, has become a new research direction. However, at present, due to problems such as the difficulty of quantifying student behavior, the application of big data in the field of education is still in the research stage, and no eff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/20
CPCG06Q10/04G06Q50/20
Inventor 杨磊聂敏夏虎
Owner CHENGDU XUNDAO TECH CO LTD
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