Path learning planning system based on knowledge graph and target ontology

Abstract

The invention relates to a path learning planning system based on a knowledge graph and a target ontology. The path learning planning system comprises a subject data acquisition module, a student information acquisition module, an evaluation demand acquisition module, a knowledge graph construction module, a data link module, a data operation module and a data operation module. On one hand, corresponding learning plans and learning plans can be made for students in a targeted manner according to the respective requirements and knowledge reserve conditions of the students; therefore, the requirements of learning ability and learning habits of students are met; on the other hand, the learning contents are effectively combined; the knowledge points are reasonably combined to construct an efficient knowledge network, the distribution rationality of the knowledge points in the knowledge network and the comprehensiveness of the knowledge network coverage content are improved to meet different learning requirements and flexibly adjust the learning requirements, and finally, the convenience and the flexibility of students during learning are improved.

Description

technical field [0001] The invention relates to a path learning planning system based on a knowledge map and a target ontology, and belongs to the technical field of artificial intelligence. Background technique [0002] At present, with the development of information technology, network technology, data cloud processing technology and artificial intelligence technology, coupled with the extremely rich content of current learning knowledge, and there are a large number of knowledge intersections among related disciplines, the knowledge map is currently used to provide students with learning content Planning and formulating study programs have been widely used in the fields of teaching training and self-study. [0003] However, in actual use, it is found that the current knowledge map auxiliary systems and methods introduced in the field of learning and teaching, on the one hand, often only stay in the theoretical research stage. Information knowledge map representation lear...

AI Technical Summary

Problems solved by technology

[0003] However, in actual use, it is found that the current knowledge map auxiliary systems and methods introduced in the field of learning and teaching, on the one hand, often only stay in the theoretical research stage. Information knowledge map representation learning method" and "a goal-driven learning point and learning path recommendation method based on knowledge map" with application number "2017103950673", these technologies lack the ability to meet the actual operation to varying degrees, and cannot be effective To meet the needs of practical operation; on the other hand, when the knowledge graph system currently used is introduced into teaching activities, the coverage of the basic situation of students' learning and teaching knowledge is relatively narrow, such as the application number "2017106765636". Therefore, the learning plans formulated are often poor in versatility and flexibility in use, and cannot be flexibly adjusted according to the structure of students and teaching knowledge, and still cannot effectively meet the needs of actual work.

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