Learning resource push method and system based on learning preferences of users

Abstract

The invention provides a learning resource push method based on learning preferences of users. The method includes the following steps: firstly, acquiring the learning preferences of different users,and establishing a user attribute library according to the different learning preferences; and then classifying various types of learning resources according to different attributes, and establishinga digital resource attribute library; and finally, establishing a recommendation model according to a corresponding relationship between the user attribute library and the digital resource attribute library, wherein the recommendation model automatically selects digital resources of the corresponding attribute to perform personalized learning resource pushing according to different user attributes. The invention also provides a learning resource push system based on the learning preferences of the users. According to the scheme of the invention, by adopting the learning resource push method based on the learning preferences of the users, the needs of learners for personalized learning can be met, the learning resources can be pushed rapidly and accurately in combination with learning activities of the learners, and the effect of resource recommendation services can be effectively improved. The scheme of the invention has relatively good application and promotion values, and also has relatively good market prospects and social benefits.

Description

technical field [0001] The present invention relates to the technical field of resource push methods, in particular to a learning resource push method and system based on user learning preferences. Background technique [0002] With the development of digital network learning, personalized learning has an increasing demand. The so-called personalized learning means that students can obtain learning resources that match them according to their own learning preferences. However, looking at many online learning platforms or professional websites, not only do they fail to meet the needs of students' personalized learning, but also fail to deliver learning resources quickly and accurately in combination with learners' learning activities. [0003] Massive educational information resources and rich platform tools increase the difficulty of learner selection and bring about "information trek". According to the analysis and survey, one of the biggest confusions for students is how...

AI Technical Summary

Problems solved by technology

According to the analysis and survey, one of the biggest confusions for students at present is how to face the list of hundreds or even thousands of learning resources given by the website.

If learning resources can be pushed based on the user's learning preferences, it will greatly save the user's time, but there is no such push method or device in the prior art

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