Learning cognitive path generation method based on cognitive map

A path generation and map technology, applied in the field of learning and cognitive path generation based on cognitive maps, can solve the problems of single category, poor self-adaptation, and low personalization of cognitive paths
CN110543572APending Publication Date: 2019-12-06杭州奇迹在线科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
杭州奇迹在线科技有限公司
Publication Date
2019-12-06

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Abstract

The invention discloses a learning cognitive path generation method based on a cognitive map. A cognitive learning path is recommended to a learner in combination with the cognitive dimension ontologyand the course knowledge graph; firstly, a cognitive map modeling and constructing method is provided; on the basis, for a learner and a target learning unit are given, firstly, the current cognitivestate of a learner is recognized according to a learning log; a cognitive learning path of the target knowledge unit is generated by combining the cognitive ability of the target knowledge unit; andrecommendation and generation of cognitive paths in personalized learning can be realized, wherein a cognitive dimension ontology diagram is designed, it is guaranteed that learners can analyze and diagnose the learning situation of each knowledge unit in a finer-grained mode, a learning target cognition path is generated based on the course knowledge graph, and the algorithm integrating the cognition dimension, the learning record and the learner cognition attribute can better provide more accurate personalized learning services for the learners.
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Description

Technical field

[0001] The invention relates to the application of a knowledge map in the learning cognitive process in online education, in particular to a method for generating a learning cognitive path based on the cognitive map. Background technique

[0002] With the development of knowledge graph technology, open knowledge graph data sets on the Internet have appeared one after another, covering many fields such as encyclopedia, education, finance, and medical care, and have become important knowledge resources on the Internet. Artificial intelligence technology based on knowledge graphs also provides brand new technical support for smart education, especially personalized navigation services in the learning process of learners. Personalized learning based on knowledge graphs requires both natural language processing and other artificial intelligence technologies to extract knowledge from the unstructured text of the course, as well as building an accurate domain cognitive o...

Claims

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