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Educational training self-optimization quality control method and system based on evolutionary algorithm thinking

A quality control method and evolutionary algorithm technology, applied in the field of education and training, can solve problems such as inability to optimize product and service quality, and achieve the effect of avoiding complex quality supervision problems

Pending Publication Date: 2019-10-15
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0004] In order to solve the problem that the existing education and training system cannot continue to optimize the quality of products and services, the present invention provides a method that can continuously optimize the products or services of the education and training system, so that it can continuously move towards a product that is more in line with the needs of customers and users. The self-optimizing quality control method of education and training based on evolutionary algorithm thinking for direction improvement, including the following steps,

Method used

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  • Educational training self-optimization quality control method and system based on evolutionary algorithm thinking

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Embodiment 1

[0088] This embodiment takes the education and training system for middle and high school students as a specific case. At present, there are many education and training systems for middle and high school students in China, and the quality is uneven. Parents pay the bill as customers, and the training system provides course training services for students. Most of the users are students, and the parents of the students as customers cannot obtain real and effective feedback on the training situation, resulting in information asymmetry and unsatisfactory remedial lessons. It is difficult for the managers of the education and training system to measure the education level of teachers who provide course training services and their training Effects and achievements, education and training self-optimization quality control system and method based on evolutionary algorithm thinking, the specific steps are as follows;

[0089] S1: Build a supervisory feedback system

[0090] Build a mob...

Embodiment 2

[0108] Such as figure 1 As shown, a self-optimization method for all members of the customer-user separation system based on genetic evolution thinking. This embodiment takes the college education system as a specific case. Customers pay the bill, and colleges and universities provide students with higher education. Since the users who receive education directly are students, and the parents of students as customers cannot obtain real and effective feedback on education conditions, resulting in information asymmetry, unsatisfactory educational effects, and difficulty for students to gain a foothold in society after graduation. It is difficult for university administrators to measure the educational level of lecturers and professors as well as their educational effects and achievements. Many colleges and universities have set up special educational affairs departments to supervise and improve the overall education level, but the effect is not very satisfactory. The self-optimiz...

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Abstract

In order to solve problems that an existing education training system cannot optimize products and service quality continuously, the invention provides an educational training self-optimization quality control method based on evolutionary algorithm thinking, which can continuously optimize products or services of an educational training system so as to enable the products or services to be continuously improved towards the direction more conforming to customer user requirements. The method comprises the following steps: a supervision and evaluation feedback step: determining a fitness function; and an excitation and elimination step, a mutual reference crossover step, and a variation step for protecting individual material teaching and individuation. The beneficial effects of the method are that the method supports the diversity and individuation of teaching according to materials through the supervision and feedback step, the fitness function determination step, the excitation and elimination step and the sharing and communication step, forms a new optimization education training system, and enables the system to continuously repeat the above steps, thereby achieving the continuous self-optimization of products and services of the education training system.

Description

technical field [0001] The invention relates to the field of education and training, in particular to a self-optimizing quality control method and system for education and training based on evolutionary algorithm thinking. Background technique [0002] At present, the domestic economy is developing rapidly, and more and more parents are paying more and more attention to their children's education. Therefore, many education and training institutions have emerged. However, for application scenarios such as education and training, parents generally pay the bill and children receive education and training. It is difficult for parents to be comprehensive and truthful. This will easily lead to difficulties in quality control of service organizations and harm the interests of consumers. [0003] When a parent purchases a product or service, the user of the product or service is not the parent who pays the fee. Therefore, the parent cannot directly obtain feedback on the use of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20
CPCG06Q10/06395G06Q50/20G06Q50/2057
Inventor 李太福段棠少尹华玲李家庆
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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