Teaching problem diagnosis method and system based on knowledge graph
A knowledge map and problem diagnosis technology, which is applied in special data processing applications, instruments, and other database retrievals, can solve problems such as low accuracy and rough summary of analysis results, and achieve the effect of accurate algorithms
Inactive Publication Date: 2019-08-02
厦门无常师教育科技有限公司
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However, traditional data-driven analysis platforms can only discover manually marked labels through student feedback. Not only does it need to spend a lot of labor costs on manual labeling or non-standardized API capture before inputting into neural network algorithms, but the accuracy is also very high. Low, the analysis results are relatively rough
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[0038] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0039] Such as figure 1 Shown, a kind of teaching problem diagnosis method based on knowledge graph of the present invention, it comprises the following steps:
[0040] a. Construct a knowledge map according to the entities in the teaching material information and the relationship between entities;
[0041] b. Automatically mark the teaching material information according to the knowledge graph to obtain entity label information;
[0042] c. Obtain the user's learning behavior information, and extract the abnormal behavior information in the learning ...
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The invention discloses a teaching problem diagnosis method and system based on a knowledge graph. The method comprises the following steps: constructing the knowledge graph according to entities in teaching material information and a relationship between the entities; automatically labeling the teaching material information according to the knowledge graph to obtain entity label information; acquiring learning behavior information of a user, and extracting abnormal behavior information in the learning behavior information; automatically labeling the abnormal behavior information according tothe knowledge graph to obtain abnormal label information; carrying out a correlation test on the abnormal label information to obtain the correlation between the abnormal label information and the entity label information, thereby obtaining teaching material information corresponding to the related entity label information, namely to-be-improved teaching material information. According to the method, the abnormal behavior information of the user is identified, extracted and subjected to the correlation test through the knowledge graph entity label technology, the to-be-improved teaching material information is obtained, and therefore problem diagnosis and improvement can be accurately conducted on the teaching material information.
Description
technical field [0001] The invention relates to the technical field of intelligent education, in particular to a method for diagnosing teaching problems based on knowledge graphs and a system for applying the method. Background technique [0002] Online education is e-Learning, or distance education, online learning, which is a method of content dissemination and rapid learning through the application of information technology and Internet technology. Under the trend of explosive development of informatization, online education has increasingly highlighted its advantages: 1. Online education can break through the limitations of time and space and improve learning efficiency; 2. Online education can transcend educational resources caused by regions and other aspects Unequal distribution enables the sharing of educational resources and lowers the threshold for learning. Based on the characteristics and advantages of online education, online schools have been recognized by mor...
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Login to View More IPC IPC(8): G06F16/901G06Q50/20
CPCG06Q50/205G06F16/9024
Inventor 刘源
Owner 厦门无常师教育科技有限公司