Intelligent auxiliary learning system based on knowledge graph and edge calculation

Abstract

The invention discloses an intelligent auxiliary learning system based on a knowledge graph and edge calculation. The invention includes converting course question characters and voice data input by alearner into internal representation data of a machine; accessing a knowledge graph module in the server through edge computing, and analyzing the input data under the assistance of the knowledge graph module to obtain language recognition data; synthesizing the analyzed language recognition data input by the learner and the corresponding learning information returned by the knowledge graph module to generate a related question answer; feeding back to learners. According to the invention, intelligent auxiliary learning can be realized; personalized learning services are provided for learners,the learners can obtain effective and accurate learning schemes, the recognition efficiency is improved, resource waste is reduced, accurate recognition can be achieved without establishing a huge recognition database, occupied network resources are reduced, and the phenomena of insensitive reaction, jamming and the like are avoided.

Description

technical field [0001] The invention belongs to the technical field of assisted learning, in particular to an intelligent assisted learning system based on knowledge graphs and edge computing. Background technique [0002] With the continuous development of science and technology, technological products have gradually integrated into our lives. Scientific and technological products are no longer far away, but have penetrated into every detail of our daily life. And learning is an indispensable part of our life, especially for primary and middle school students, daily life is learning. Learning aids can effectively help students learn independently and answer questions and solve problems for students in a timely manner. [0003] However, the existing learning aids have a single structure, cannot provide learners with personalized services, and the response effect is poor, often answering questions that are not asked, which disturbs the child's thinking and prevents the child...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems, the present invention proposes an intelligent assisted learning system based on knowledge graphs and edge computing, which can realize intelligent assisted learning, provide learners with personalized learning services, and enable learners to obtain effective and accurate learning solutions. It improves the recognition efficiency and reduces the waste of resources. It does not need to establish a huge recognition database to achieve accurate recognition, reduces the occupation of network resources, and avoids insensitivity and stuttering.

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