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Education big data analysis system

A technology for educational data and analysis systems, applied in relational databases, database models, visual data mining, etc., can solve problems such as not finding the basis for course scheduling, and achieve the effect of improving quality and efficiency

Pending Publication Date: 2020-02-18
北京普瑞华夏国际教育科技有限公司
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Problems solved by technology

However, there is no in-depth understanding of the relationship between these grades obtained by students and the courses, and it has not been found that these stored grades are an important basis for course scheduling.

Method used

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  • Education big data analysis system
  • Education big data analysis system

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Experimental program
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Embodiment 1

[0032] An educational big data analysis system, such as figure 1 As shown, it includes educational data collection module 1, educational data sorting module 2, educational data mining module 3 and educational data analysis module 4, and the communication connection between each module. Educational data collection module 1 collects big educational data and sends it to educational data sorting Module 2, educational data sorting module 2 preprocesses educational big data, cleans the acquired data according to the preset standard format, filters out redundant information, and classifies and stores educational big data with different attributes and formats according to attributes. Corresponding to the stored data in the template format, and labeling the identified types with classification labels to obtain classification data, the education data mining module 3 mines all kinds of label data in the database, retrieves all frequent item sets in the education database, and utilizes the...

Embodiment 2

[0043] As a second embodiment of the present invention, the educational data mining module 3 uses association rules and Apriori algorithm to preprocess the classification data.

[0044] Specifically, association rules are used to reflect the interdependence and correlation between a piece of data and other data, specifically:

[0045] Let I={i 1 , i 2 ,i 3 ,...,i n} is the collection of data, i n is the data, D is the set of database T, T is the unique data number of each data, let X, Y be a set of data in I, and X∩Y=Ф An association rule is in the form of The logical implication of In the data set D, the support degree is the ratio of the number of data that contains both X and Y to the number of all data in the data set, and the reliability of the response rule is recorded as support

[0046] And support =PX∪Y,

[0047] If the data set exceeds the minimum support threshold given by the user, the data set is a frequent data set, and the degree of certainty of the...

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Abstract

The invention relates to the field of education big data analysis, in particular to an education big data analysis system, which comprises an education data acquisition module, an education data arrangement module, an education data mining module and an education data analysis module. According to the invention, student academic scores are used as data sources; data mining techniques are used to provide an efficient processing mode for reasonable and effective utilization of education big data; the invention relates to the field of artificial intelligence and application of statistics and relates to management and the use of the database are related; the education big data analysis system is applied to student score analysis, and enable the data to be more timely; multiple courses in the score database are selected as research objects more simply and clearly, whether a certain course affects the opening of other courses or not is found out, reference is provided for later course arrangement of school teaching teachers, a basis is provided for later course selection of students, and the system can be deployed in management centers of colleges and universities and has the advantagesof complete functions, reliable performance and the like.

Description

technical field [0001] The invention relates to the technical field of educational big data analysis, in particular to an educational big data analysis system. Background technique [0002] All colleges and universities evaluate students' academic performance and comprehensive quality based on students' test scores in various subjects. After a long period of operation, colleges and universities have accumulated and stored a large amount of student performance information, but these colleges and universities do not pay much attention to these grades. The analysis and processing of grades generally still stays in the ancient era of query and statistics, such as counting the number of excellent, good, passing, and failing; calculating the average score, standard deviation, and calculating grade points; counting grade points. However, there is no in-depth understanding of the relationship between these grades obtained by students and the courses, and it has not been found that t...

Claims

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Application Information

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IPC IPC(8): G06F16/26G06F16/28G06Q10/06G06Q50/20
CPCG06F16/26G06F16/287G06Q10/0639G06Q50/205
Inventor 何罡
Owner 北京普瑞华夏国际教育科技有限公司
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