Visual multidimensional knowledge management and learning system

Abstract

The invention discloses a visual multidimensional knowledge management and learning system. The visual multidimensional knowledge management and learning system comprises knowledge points, a knowledgebase, a learning system, and capability evaluation maps. The knowledge base consists of the knowledge points, dependency relationships exist among the knowledge points, and the dependency relationships are represented by using trees or graphs. Dependency relationships further exist among the plurality of trees and graphs, thus a multidimensional knowledge is formed, and the dependency relationships are visual. Each knowledge point has corresponding multimedia learning content, and real-time multimedia tutoring of a real person or artificial intelligence. In the learning system, a learner specifies the target knowledge point, the system automatically generates a series of evaluation test papers according to an exercise set of knowledge points that the knowledge point depends on, obtains knowledge blind spots of the learner according to evaluation results, begins to push related learning content and exercises orderly from the most basic knowledge blind spot according to the dependency relationships, forms a closed loop of learning, practicing, evaluating and re-learning, improves the learning efficiency in a targeted manner, and replaces the repeated labor of the existing manual knowledge transmission by teachers.

Description

technical field [0001] The invention relates to the technical fields of knowledge management, online education and artificial intelligence, in particular to a learning system based on multi-dimensional knowledge management. Background technique [0002] The range of knowledge involved has different sizes. Each knowledge can be abstracted into knowledge points, and large-scale knowledge points can be subdivided into small-scale knowledge points until they can no longer be divided. Therefore, to learn large knowledge points, You must first learn the smaller knowledge points that it depends on, that is to say, the knowledge points are dependent. To learn the following knowledge points, you must first learn the knowledge points that they depend on. Scientific learning is sequential. If the teaching activities are not carried out in sequence, the educator will go crazy, and the educated will be even more depressed. [0003] Modern classroom education, because it is one-to-many e...

AI Technical Summary

Problems solved by technology

[0010] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a visual multi-dimensional knowledge management and learning system to solve several deficiencies and problems in knowledge management and existing education models mentioned in the background technology

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