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Intelligent learning method based on description logic and case-based reasoning

A description logic, intelligent learning technology, applied in the field of intelligent tutor learning, can solve the problem of low utilization of reused information

Active Publication Date: 2015-04-29
GUILIN UNIV OF ELECTRONIC TECH
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AI Technical Summary

Problems solved by technology

[0005] What the present invention aims to solve is the problem of low utilization rate of reused information existing in the application of traditional case reasoning to intelligent learning, and provides an intelligent learning method based on description logic and case reasoning

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  • Intelligent learning method based on description logic and case-based reasoning
  • Intelligent learning method based on description logic and case-based reasoning

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Embodiment Construction

[0046] An intelligent learning method based on description logic and case-based reasoning, such as figure 1 shown, including the following steps:

[0047] Step 1. Initialize and assign values ​​to the reuse frequency attribute values ​​of all source cases in the source case library; the value range of the reuse frequency attribute values ​​of the cases is [0,1]. In a preferred embodiment of the present invention, the reuse frequency attribute values ​​of all source cases in the source case library are initialized to 1.

[0048] Step 2, take the problem encountered by the learners, that is, the new case as input, calculate the textual and numerical attribute similarity Sim(A, B) between the new case and each source case in the source case library, and according to the calculated text and The numerical attribute similarity Sim(A,B) sorts the source cases in the source case library.

[0049] The text and numerical attribute similarity Sim(A,B) of the new case and each case in t...

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Abstract

The invention discloses an intelligent learning method based on description logic and case-based reasoning. The method comprises the steps of respectively calculating text property and data type property of the property of a case by adopting a similarity calculation method based on description logic, and giving out a preliminary result of similarity matching; building a relationship by using pheromone pheromone self-adaption updating and allocation strategy in an ant colony algorithm and case recommendation; giving out the case recommendation to learning subjects at different learning stages in the learning subjects' grades by partitioning the learning grades and problem grades of a learning subject; respectively endowing different weights to the computing results of the above methods, and comprehensively calculating the similarity among the cases; giving out a list of optimal solutions for the existing problem case in a case library through the comprehensive similarity for the selection of a learning subject. Therefore, the learner can learn from mistakes met by the learner quickly.

Description

technical field [0001] The invention relates to the field of intelligent tutor learning, in particular to an intelligent learning method based on description logic and case reasoning. Background technique [0002] In the traditional learning process, there are usually two ways to solve the error problem. One is that the learner relies on the guidance of the instructor, and the other is that the learner makes inquiries and seeks help through network resources such as network forums. For the former mode, although it can help learners to solve the problems they encounter to a certain extent, with the increase in the number and complexity of the problems, there will be problems such as unconscious mistakes, neglecting others, habitual mistakes, etc., which are serious. It affects learning efficiency and causes a serious waste of problem-solving resources. For the latter mode, although network resources can help learners solve wrong problems, the efficiency of learners finding t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G09B7/02
CPCG06F16/90348G09B7/04
Inventor 古天龙谷宇奇宁黎华徐周波常亮
Owner GUILIN UNIV OF ELECTRONIC TECH
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