Education big data based analysis method

An analysis method and data technology, applied in the field of analysis based on educational big data, can solve problems such as the improvement of stay management methods, the lack of overall planning and comprehensive research on specific applications, and inconsistent data standards, and achieve the effect of improving quality and efficiency

Inactive Publication Date: 2018-06-05
HUAZHONG NORMAL UNIV
View PDF6 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] It can be seen that the research and application of educational big data are getting more and more attention from educational managers, but the current research and application of educational big data is still in the initial stage, and the research mainly stays in learning analysis, personalized teaching, and educational data mining. , improvement of management methods, etc., there is a lack of overall planning and comprehensive research on specific applications, and there are problems such as inconsistent data standards, narrow data collection coverage, insufficient professional model construction, and low data analysis efficiency.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Education big data based analysis method
  • Education big data based analysis method
  • Education big data based analysis method

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0035] see figure 2 , is an analysis method applied to the above-mentioned analysis device 100 based on educational big data provided by the embodiment of the present invention, which will be combined below figure 2 Describe the steps involved.

[0036] Step S101: Obtain a data source.

[0037] The obtained data sources can be composed of data collected by multiple sets of collection equipment and manually imported data. Since the data obtained by collection equipment and manually imported data are the most basic raw data, not only the structure is diverse but also It carries a lot of redundant information, so it is necessary to preprocess this row of raw data according to the preset standard format. During the cleaning process, redundant information is filtered out to meet the usage requirements. When the data is cleaned according to the preset standard format, the corresponding type of data is also marked with a classification label. For example, when the data is identif...

no. 2 example

[0082] The embodiment of the present invention also provides a data analysis device 110, such as Figure 4 shown. The data analysis device 110 includes: an acquisition module 111 , an identification module 112 , an extraction module 113 , an analysis module 114 and a model building module 115 .

[0083] The obtaining module 111 is configured to obtain a data source, wherein the data source is a data source preprocessed according to a preset standard format.

[0084] The identifying module 112 is configured to identify the type of the data source, and store the identified data source in a corresponding database.

[0085] The extraction module 113 is configured to extract data to be analyzed from the database when the data stored in the database needs to be analyzed. Further, as Figure 5As shown, the extraction module 113 includes: a data extraction sub-module 1131 and a feature extraction sub-module 1132 .

[0086] The data extraction sub-module 1131 is used to extract aud...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of data processing and relates to an education big data based analysis method. The method includes: acquiring a data source; recognizing a type of the datasource, and storing the recognized data source into a corresponding database; when analysis of data stored in the database is required, extracting to-be-analyzed data from the database; acquiring ananalysis result on the basis of the to-be-analyzed data and a preset data analysis model. According to the method, the acquired data are recognized to obtain the data type and stored into the corresponding database; when analysis and statistics of the data are required, the to-be-analyzed data are extracted from the data, then the required analysis result is acquired on the basis of the data and the preset data analysis model to make it convenient to provide specific services according to the analysis result, and accordingly student learning and teacher teaching quality and efficiency are improved, and effect multiplication is achieved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to an analysis method based on educational big data. Background technique [0002] The field of big data has developed vigorously in recent years, but the application of domestic big data in the field of education has only begun to appear in recent years. Since 2013, my country has set off an upsurge of applied research on educational big data. In the "2014 Education Informatization Work Key Points" issued by the General Office of the Ministry of Education, it is emphasized that relevant data resources such as dynamic monitoring, decision-making application, and education forecasting should be aggregated and integrated to provide timely, accurate and effective data support for scientific decision-making in education. And can share the basic education data of the whole country. [0003] It can be seen that the research and application of educational big data are...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/06G06Q50/20
CPCG06Q10/0637G06Q50/205G06F16/2465
Inventor 黄涛张浩刘三女牙杨华利戴淑敏
Owner HUAZHONG NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products