Extracurricular learning tutoring system based on deep learning and knowledge graph and implementation method

Abstract

The invention discloses an extracurricular learning tutoring system based on deep learning and a knowledge graph and an implementation method, and belongs to the technical field of tutoring learning,and the method comprises the following steps: 1, carrying out the resource labeling of learning resources and questions, labeling students, teachers and other communities, and forming the knowledge graph; step 2, enabling students to perform preview, review and review, and watch resources online; enabling the students do homework, study and exam and do questions online; and step 3, collecting learning process and result data of students, collecting learning behavior data of student communities, performing diagnosis analysis based on the cognitive model and the knowledge structure, generating student learning condition reports and student portraits, adding the student learning condition reports and the student portraits into the knowledge graph, further perfecting labels of learning resources, questions, students, teachers and communities, and strengthening the knowledge graph. According to the invention, a student cognitive competence model is introduced in a teaching practice evaluation process of extracurricular learning of students, and extracurricular personalized learning guidance is provided for primary and secondary school students by adopting deep learning and knowledge graph technologies.

Description

technical field [0001] The present invention relates to the technical field of tutoring and learning, in particular to an extracurricular learning tutoring system and implementation method based on deep learning and knowledge graphs. Background technique [0002] First of all, primary and middle school students have a wide range of extracurricular learning content, and the scope of extracurricular learning tutoring for subjects required for exams also has a certain breadth. The range of learning content at different stages is different, and the textbooks in different regions are also different. Even if the national exams are used in different provinces, the scope of examination is not exactly the same, not to mention that the content of examinations at different stages in different regions and schools is also different. Secondly, there are many factors that affect the learning effect, including people's state, learning content, learning process, mentality, examination conten...

AI Technical Summary

Problems solved by technology

Existing user behaviors focus more on the data collection mode that focuses on the learning results and supplements the process, which will lead to the lack of data models. The purpose of this invention is to provide an extracurricular learning guidance system based on deep learning and knowledge graphs and Implementation

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