Learning scheme recommendation method and device, equipment and storage medium

Abstract

The embodiment of the invention discloses a learning scheme recommendation method and device, equipment and a storage medium. The method comprises the steps: obtaining a learning activity request of atarget user when the target user triggers the learning activity request to hope to carry out a learning activity, and obtaining the historical learning data of the target user according to the learning activity request, wherein the history learning data includes a history learning content and a learning result for the history learning content; and then, carrying out learning effect evaluation according to the learning result to obtain the learning effect of the target user for the historical learning content so that a review interval and a new learning content of the historical learning content are updated according to the learning effect, and determining a learning scheme according to the review interval and the new learning content. According to the scheme, the review interval and the new learning content are updated according to the learning effect so as to adapt to a current learning ability of the user, the new learning content can be provided in time according to the learning ability of the user, the learning effect can be maximized by reviewing the content in a self-adaptive mode, and the learning efficiency and the learning effect are improved.

Description

technical field [0001] The present application relates to the field of data processing, and in particular to a learning scheme recommendation method, device, device and storage medium. Background technique [0002] The online learning platform provides students with a variety of learning content and convenient learning methods. Different types of learning resources, such as videos, texts, and test questions, provide students with online lectures, content explanations, and test results in different ways. [0003] At present, these platforms often center on the system itself, formulate a variety of learning programs including different contents in advance, and recommend corresponding learning programs for users as the user's learning progresses. [0004] However, this recommendation method does not take into account the user's actual mastery of the knowledge points, resulting in problems such as the recommended learning program does not match the user's ability and low learni...

AI Technical Summary

Problems solved by technology

[0004] However, this recommendation method does not take into account the user's actual mastery of the knowledge points, resulting in problems such as the recommended learning program does not match the user's ability, and the learning efficiency is low.

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