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Big data analysis method based on a campus education system

An analysis method and big data technology, applied in the field of big data analysis, can solve the problems of lack of big data analysis system in the education system, stop reports and statistics, lack of planning for effective data collection and utilization, etc., and achieve the effect of improving learning effects

Pending Publication Date: 2019-03-26
广东粤众互联信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the development of the existing teaching system generally requires the school to seek a system development company to develop a functional education system. Basically, it only focuses on the use of functions and the optimization of system performance, and lacks planning for effective data collection and utilization. , the use and analysis of data in the education system are all stuck in simple reports and statistics, lacking a professional big data analysis system for the education system
[0004] When teachers analyze students' learning situation, they can only draw a vague conclusion based on a large amount of data and information. Parents and students can only simply compare their own learning situation with their classmates, and it is difficult to accurately judge their own learning situation. Insufficiency and deficiency

Method used

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Examples

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Embodiment Construction

[0019] The invention is a big data analysis method based on the campus education system, wherein the big data is the data records of all the students of many colleges and universities over the years.

[0020] Big data is stored in the student database, including personal information of all students, parent information, quantitative data of knowledge points, test score data, classroom behavior records, school itinerary, campus card consumption records, and student comment data.

[0021] Personal information mainly includes gender, age, address, height, weight and other data information.

[0022] Parent information mainly includes age, gender, address, income range, industry, education level and other data information.

[0023] The quantitative data of knowledge points is that after the teaching staff enter the knowledge points of the course into the computer system, the system will number the subjects, grades, and sequence, and count the learning data of the students during the...

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PUM

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Abstract

The invention relates to the field of big data analysis. The invention particularly discloses a big data analysis method based on a campus education system. According to the student data in the student database, through the steps of data classification, mathematical model establishment, target analysis, data induction, statistical analysis and result pushing, the data of the analysis target and the student data of the same model in the big data are compared in a unified mode, and the analysis target data comparison condition is displayed according to a preset strategy. Students, parents and teaching staff can be helped to more accurately and timely compare student data with big data analysis data to know whether learning of the students has deviation or omission and whether individual school time distribution is reasonable or not; Learning efficiency is improved, and the learning effect can be further improved only by adjusting learning emphasis.

Description

technical field [0001] The invention relates to the field of big data analysis, and specifically discloses a big data analysis method based on a campus education system. Background technique [0002] In recent years, students' education and performance have gradually become the focus of family and society, and choosing schools with high-quality teaching conditions has become a key factor for parents and children to choose schools. With the development of digital technology, more and more colleges and universities have begun to build their own digital systems. The advantages and disadvantages of digital teaching systems have become the forefront of a new round of competition among colleges and universities for teaching resources. [0003] When the company enters the school, it can grasp the rich data resources of the school's teaching staff, education management, and student learning in real time. In the future when big data becomes a new energy source, this is undoubtedly a ...

Claims

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Application Information

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IPC IPC(8): G06Q50/20G06Q10/06
CPCG06Q10/06393G06Q50/205
Inventor 刘石明
Owner 广东粤众互联信息技术有限公司
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