The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 31, 2023

Filed:

May. 08, 2018
Applicant:

Central China Normal University, Hubei, CN;

Inventors:

Zongkai Yang, Hubei, CN;

Sannyuya Liu, Hubei, CN;

Dongbo Zhou, Hubei, CN;

Jianwen Sun, Hubei, CN;

Jiangbo Shu, Hubei, CN;

Hao Li, Hubei, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/9537 (2019.01); G06F 16/9535 (2019.01); G09B 5/12 (2006.01);
U.S. Cl.
CPC ...
G06F 16/9537 (2019.01); G06F 16/9535 (2019.01); G09B 5/12 (2013.01);
Abstract

The disclosure discloses a method for analyzing educational big data on the basis of maps. The method includes acquiring educational resource data and storing the educational resource data into databases according to certain data structures; constructing theme map layers for each analysis theme, classifying and indexing data according to the analysis themes, and superimposing the theme map layers onto base maps to form data maps; analyzing data of the theme map layers according to the analysis themes and acquiring theme analysis results; extracting the data of the multiple theme map layers in target regions, fusing the data and acquiring region analysis results; acquiring learning preference of users; combining the learning preference of the users according to content of user requests and searching the region analysis results in response to the user requests. The disclosure further discloses a system for analyzing the educational big data on the basis of the maps.


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