Personalized teaching resource recommendation system based on knowledge map and ability evaluation

Abstract

The invention discloses a personalized teaching resource recommendation system based on a knowledge map and ability evaluation. The personalized teaching resource recommendation system comprises a knowledge map resource module, a student learning ability evaluation module, a student portrait module, a teacher portrait module and a personalized recommendation module, wherein the knowledge map resource module is used for constructing a knowledge map and a resource map of a resource library; the student learning ability evaluation module is used for evaluating learning ability of a student on the basis of the knowledge map resource module to obtain a student learning ability level; the student portrait module is used for drawing a student portrait by combining the student learning ability level with a student information library, and clustering student information; the teacher portrait module is used for drawing a teacher portrait based on a teacher information library; and the personalized recommendation module is used for recommending resources to the student or the teacher. The personalized teaching resource recommendation system is based on heterogeneous teaching resources, and can recommend teaching resources to learners with different learning abilities and teachers teaching different learners with relatively high precision.

Description

technical field [0001] The invention relates to a teaching resource recommendation system, in particular to a personalized teaching resource recommendation system based on knowledge graphs and ability assessment. Background technique [0002] With the rise of E-Learning and the deepening and development of web2.0 technology, the number of online teaching resources is expanding at a rapid rate. What users of teaching resources are no longer facing is the shortage of resources, but the choice caused by too many resources. Therefore, how to help users effectively and accurately select teaching resources that suit them is an important problem that resource providers need to solve urgently. [0003] A very potential solution to the problem of information overload is the recommendation system, which is a personalized information recommendation system that recommends the information and products that the user is interested in to the user according to the user's information needs an...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a personalized teaching resource recommendation system based on knowledge graphs and ability assessment, to solve how to teach learners with different learning abilities and teachers with different learning abilities based on heterogeneous teaching resources. The problem of recommending teaching resources with relatively high accuracy

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