Knowledge point learning path recommendation method and device

Abstract

The invention discloses a knowledge point learning path recommendation method and device. According to the method, the knowledge point mastery degree is measured by a user; learning cost analysis is carried out in combination with a knowledge point graph. The operating post adapted to the user is evaluated. Related knowledge points are extracted, and the knowledge point learning recommendation path of the user is given according to the evaluation of the learning style of the user in combination with the contribution degree of the knowledge points, so that the learning process of the user is optimized, the learning efficiency of the user is improved, learning of irrelevant knowledge points is avoided, and learning is adapted to the operating post as soon as possible.

Description

technical field [0001] The invention relates to the analysis of user characteristics in the field of online education, in particular to the recommendation of learning paths for user knowledge points. Background technique [0002] With the increasing development of Internet technology and the improvement of the Internet environment, the Internet has brought earth-shaking changes to people's life, work and study methods by virtue of its efficient information integration methods and information acquisition channels. In the field of distance education, the online education and learning platform that has developed in recent years has had a profound impact on the education model of ordinary colleges and universities and the learning methods of students. [0003] On the one hand, the online education and learning platform integrates a large number of high-quality educational resources on the Internet, such as teaching videos, courseware, exercises, etc., to help users complete the ...

AI Technical Summary

Problems solved by technology

However, as the job market's requirements for job abilities become more and more detailed, and the degree of specialization is getting higher and higher, the fresh graduates cultivated under the traditional teaching mode are increasingly unable to meet the talent needs of employers: the traditional teaching mode is more Pay attention to the learning of users' course knowledge content, but ignore the cultivation of users' relevant professional skills. Users have mastered a relatively solid theoretical knowledge foundation through the learning of course knowledge content, but it is difficult to flexibly use the learned knowledge in production jobs to solve practical problems. , which leads to the mismatch between fresh graduates and actual production jobs in the employment market

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