Intelligent class grouping method and system based on student evaluation result

Abstract

The invention discloses an intelligent class grouping method and system based on a student evaluation result, and the method comprises the steps: forming a corresponding knowledge graph through the mutual relation between knowledge point examination method model system modules, building a corresponding label index corresponding to the video explanation of each examination point in the knowledge graph through a video course label index module, performing statistics on wrong questions made by students in the form of tags, and transmitting statistical data to the test point achievement degree initial estimation module and the intelligent class grouping and recommendation module for analysis and processing so as to recommend corresponding video class combinations to the students. According tothe method, through intelligent class grouping accurate recommendation, the learning problem of students is efficiently solved, a'knowledge point examination point examination method 'model system isconstructed, the accuracy and availability of related course recommendation are improved, through examination method intelligent class grouping corresponding to student wrong question data and accurate positioning of student problems is achieved according to examination method recommendation, and the learning problem is solved.

Description

technical field [0001] The invention relates to the technical field of education systems, and more specifically relates to a method and system for intelligently organizing lessons based on student evaluation results. Background technique [0002] At present, most of the course organization and course recommendation are done manually. The teacher recommends learning resources including courses based on the evaluation results of the students combined with their own teaching experience, or the students directly search for relevant videos based on their own evaluation results. course to study. The biggest drawback of manual course recommendation or existing system recommendation courses on the market is that the recommended courses are not accurate enough and cost a lot of money, especially in the exam preparation and review process. Inaccurate recommendation cannot directly solve students’ problems. Most recommendation systems recommend based on the association of knowledge po...

AI Technical Summary

Problems solved by technology

Manually recommended courses or the existing system recommended courses on the market, the biggest defect is that the recommended courses are not accurate enough, and the cost is high, especially in the process of exam preparation and review. Inaccurate recommendations cannot directly solve students' problems

Most recommendation systems recommend based on the association of knowledge points, and the recommendation method based on knowledge points is also not accurate enough.

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