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Prediction optimization method and system for digital learning tool

A technology of prediction optimization and tools, applied in the direction of prediction, data processing applications, instruments, etc., can solve the problems of single digital tool setting, lack of effective maintenance methods, and affect the user's use effect, and achieve the effect of improving reliability and speeding up computing efficiency

Inactive Publication Date: 2022-03-22
江苏童能文化科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of this application is to provide a method and system for predictive optimization of digital learning tools to solve the problem that the digital tools of online education in the prior art are single-set and lack effective maintenance methods for user needs, which affects the user's use effect. question

Method used

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  • Prediction optimization method and system for digital learning tool
  • Prediction optimization method and system for digital learning tool
  • Prediction optimization method and system for digital learning tool

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Embodiment 1

[0033] Please refer to the attached figure 1 , the embodiment of the present application provides a method for predictive optimization of a digital learning tool, the method comprising:

[0034] Step S100: Obtain a collection of enterprise user information;

[0035]Specifically, the main object of this application is enterprise users. Enterprise users are customer groups with centralized education and training needs. In education and training, they have the characteristics of centralized training content and types of digital learning tools. Enterprise users also have a large audience Groups need effective maintenance. Compared with individual users, they need to invest more energy in maintenance and service. Due to the large demand of enterprise users, it is feasible to conduct analysis and research on enterprise characteristics, and at the same time avoid the decentralization of individual needs, which is not conducive to the determination of the optimization direction of to...

Embodiment 2

[0062] Based on the same inventive concept as the prediction and optimization method of a digital learning tool in the foregoing embodiment, the present invention also provides a prediction and optimization system of a digital learning tool, please refer to the attached figure 2 , the system includes:

[0063] A first obtaining unit 11, the first obtaining unit 11 is used to obtain a set of enterprise user information;

[0064] The second obtaining unit 12, the second obtaining unit 12 is used to extract learning resources and learning tool record data based on the enterprise user information set, perform statistics on the extracted user record information, and obtain a user record information set, the User record information set includes resource record information set and tool record information set;

[0065] A first construction unit 13, configured to construct a resource data matrix and a tool data matrix respectively according to the resource record information set and ...

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Abstract

The invention discloses a prediction optimization method and system for a digital learning tool, and the method comprises the steps: carrying out the extraction of learning resources and learning tool record data based on an enterprise user information set, and obtaining a resource record information set and a tool record information set; constructing a resource data matrix and a tool data matrix according to the resource record information set and the tool record information set; determining resource feature information and tool feature information according to the resource data matrix and the tool data matrix; obtaining feature relevance; and according to the feature relevance, determining optimization features according to a preset condition, and obtaining prediction optimization information based on the optimization features. The technical problems that the network education digital tool is single in setting and lacks an effective maintenance mode aiming at the use requirement of a user are solved. The technical effects of tool collection for each user of the enterprise, analysis of enterprise digital learning resources and usage times and characteristics of tools, tool positioning optimization according to an analysis result, and high-quality maintenance are achieved.

Description

technical field [0001] The present application relates to the technical field of employment platforms, in particular to a method and system for predictive optimization of digital learning tools. Background technique [0002] With the rapid development of Internet technology, relying on the Internet to achieve people's daily needs, including education and training, network distance education is a new type of education that has emerged with the development of modern information technology. It is compatible with traditional teaching forms such as face-to-face teaching, correspondence teaching and self-study, and an education method with an optimized combination of various media. The main subjects of online education include individual and enterprise users. Enterprise users mainly have centralized customer groups with unified and targeted customer types. In the process of distance education, network tools are needed to teach and listen to lectures. Faced with different The teac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/20
CPCG06Q10/04G06Q50/205
Inventor 韩小伟李义平程秧秧陆轶铭
Owner 江苏童能文化科技有限公司
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