Adaptive learning method and system of knowledge space directed graph

An adaptive learning, directed graph technology, applied in the field of learning systems, can solve problems such as being unsuitable for learning new knowledge points, unable to provide teaching, and the rapid development of teaching without a good learning system.

Inactive Publication Date: 2017-12-22
北京点易通科技有限公司
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  • Abstract
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Problems solved by technology

Some companies can only provide wrong question banks; although individual products apply some relatively more complex logic, they cannot provide real teaching, so they are not suitable for learning new knowledge points, especially difficult knowledge points
In addition, students will inevitably have a lot of questions during the learning process, and the current domestic related products do not have a good learning system to meet the needs of rapid development of teaching, except for some basic analysis

Method used

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  • Adaptive learning method and system of knowledge space directed graph

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Embodiment Construction

[0032] Combine below figure 1 The specific embodiment of the present invention will be further described in detail.

[0033] Such as figure 1 As shown, in the actual application process of an adaptive learning method and system of a knowledge space directed graph designed by the present invention, the following steps are specifically included:

[0034]Step 001. Select learning content as the entrance of adaptive learning, and enter step 002;

[0035] Step 002. Carry out label identification according to the label library that can be automatically collected. The automatically collected labels are discovered through user personalization, and enter step 003;

[0036] Step 003. In the knowledge graph library, select the knowledge scope through the label, and enter step 004;

[0037] Step 004. According to the relationship between knowledge scope and label, splicing into knowledge vector, enter step 005;

[0038] Step 005. The relationship between the knowledge vector and perso...

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Abstract

The invention relates to an adaptive learning method and system of a knowledge space directed graph. The system comprises four core devices, namely a knowledge recognition device, a capability recognition device, an adaptive device and a capability tracking device. The knowledge recognition device and the capability recognition device are connected with personalized data through a knowledge vector, and are connected with a knowledge point through a capability directed graph. The capability recognition device and the adaptive device are connected with an adaptive module through capability recognition data, and are connected with the capability directed graph through learning resources. The adaptive device and the capability tracking device are connected with knowledge transfer through the adaptive module, and are connected with the learning resources through capability transfer.

Description

technical field [0001] The invention relates to a learning system in the field of education and teaching systems, in particular to an adaptive learning system and method. Background technique [0002] Adaptive learning is proposed on the basis of traditional teaching and demonstration teaching. There are many definitions of adaptive learning. It usually refers to a learning method that provides adaptive learning plans, steps, recommendations and goals, through which learners can discover problems in learning, grow up and solve problems independently. [0003] In 2000, "Cognitive Modeling for Adaptive Learning" won the second prize of the Natural Science Award of the Chinese Academy of Sciences. Simon, a Nobel Prize winner and one of the founders of cognitive science and artificial intelligence, pointed out that this research result "has a significant impact on cognitive psychology. has made important contributions to learning and learning theory", and released it to the Uni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09B5/06
CPCG09B5/065
Inventor 郝小汉胡加明陈磊张力超
Owner 北京点易通科技有限公司
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