Extracurricular learning tutoring system based on deep learning and knowledge graph and implementation method
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A knowledge graph, deep learning technology, applied in the field of extracurricular learning tutoring system, can solve problems such as lack of data model
Pending Publication Date: 2021-01-05
浙江有教信息科技有限公司
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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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Embodiment 1
[0047] see Figure 1 to Figure 6 . The present invention provides a technical solution: a method for implementing extracurricular learning guidance based on deep learning and knowledge graphs, including the following steps:
[0048] Step 1. Label the learning resources and topics, label students, teachers and other communities, and form a knowledge map;
[0049] Step 2: Students preview, review and review, and read resources online; students do homework, study, take exams, and do questions online;
[0050] Step 3. Collect the data of students' learning process and results, collect the learning behavior data of the student community, conduct diagnostic analysis based on the cognitive model and knowledge structure, generate student learning reports and student portraits, add them to the knowledge map, and further improve learning Tags of resources, topics, students, teachers, and communities strengthen knowledge graphs;
[0051] Step 4. Based on the knowledge map, plan studen...
Embodiment 2
[0060] The extracurricular learning guidance system based on deep learning and knowledge graph is characterized by: including a resource module for students to learn online, review and review resources; teachers upload resources online and tag resources;
[0061] The homework module is used for students to do homework online, view homework reports, view homework mistakes, and analyze students' mistakes; teachers assign homework online, review homework, view homework reports, check class mistakes, and analyze class mistakes;
[0062] The question bank module is used for students to do exercises online and system recommended exercises; teachers publish questions online and label them;
[0063] Personal center, for students to view learning process data, learning reports, and diagnosis online; teachers to view class students' learning process data, learning reports, and diagnostic evaluation online;
[0064] Through the interactive extracurricular teaching between teachers and st...
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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...
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