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Method for question bank quality evaluation

A technology of quality assessment and test question bank, applied in the field of data fusion

Inactive Publication Date: 2015-06-24
张可 +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the contradiction between the lack of resources and the growing demand is becoming more and more prominent. How to effectively improve the quality of education and meet the needs of the people's livelihood is an urgent problem facing education researchers

Method used

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  • Method for question bank quality evaluation
  • Method for question bank quality evaluation
  • Method for question bank quality evaluation

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Embodiment Construction

[0062] The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present invention includes the full scope of the claims, and all available equivalents of the claims. These embodiments of the present invention may be referred to herein, individually or collectively, by the term "invention", which is for convenience only and is not intended to automatically limit the application if in fact more than one invention is disclosed The scope is any individual invention or inventive concept.

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Abstract

The invention provides a method for question bank quality evaluation. The method includes the steps that a question bank quality evaluation quantitative model is established, and quality evaluation indexes which comprise one or more of the question reliability index, the question validity index, the score distribution index, the question discrimination index and the question difficulty index are determined; a BP neural network is initialized according to the quality evaluation indexes; the initial weight value and the threshold value of the BP neural network are determined through a particle swarm IM-PSO algorithm based on an immune mechanism; a training sample composed of the quality evaluation indexes is used for training and obtaining the BP neural network for question quality evaluation according to the initial weight value and the threshold value. By the adoption of the method, the global searching capacity of the IM-PSO algorithm is adopted, due to the fact that the diversity of populations is enhanced, a local minimum can be prevented from being gotten into in the searching process, the searching accuracy and the operating efficiency of the algorithm are improved, and finally the purpose of network optimization is achieved.

Description

technical field [0001] The invention belongs to the technical field of data fusion, and in particular relates to the intelligent evaluation of the quality of a test question bank. Background technique [0002] With the improvement of national economic construction and national living standards, in order to gradually narrow the gap between social education and economic and cultural development, my country has promoted and promoted reforms in the field of education from various aspects. However, the contradiction between the lack of resources and the growing demand is becoming more and more prominent. How to effectively improve the quality of education and meet the needs of the people's livelihood is an urgent problem facing education researchers. [0003] With the deepening of education reform, scientific and reasonable evaluation of students' ability is an important part. Exams in the form of test papers have always been an important form of evaluating students' abilities, ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/20G06N3/02
Inventor 张可周鹏吴小川唐东明贺颖陈华
Owner 张可
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