Exercise question recommendation method and device, equipment and storage medium

Abstract

The invention relates to the field of big data, and provides an exercise recommendation method, a device, equipment and a storage medium, and the method comprises the steps: obtaining target knowledgepoints of candidate exercises; determining an associated exercise set of the candidate exercises according to the target knowledge point to obtain a first historical accuracy rate of a learner when answering the associated exercise set stored in a database; obtaining a difficulty value corresponding to the target knowledge point, and calculating an absolute value of a difference between the capability value and the difficulty value; if the absolute value of the difference is smaller than or equal to a preset threshold value, marking the candidate exercises as recommended exercises; and obtaining a plurality of recommended exercises from the question bank, and pushing the recommended exercises to an answering interface of the learner. A plurality of recommended exercises are obtained by comparing the ability value with the difficulty value, and the recommended exercises are recommended to the learner; according to the answer accuracy of the learner, the ability value of the learner relative to the knowledge points is continuously updated, the suitable exercises are recommended to the learner, and the learning efficiency of the learner is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method, device, equipment and storage medium for recommending practice questions. Background technique [0002] The exercise recommendation method provides learners with accurate exercise recommendation services in the context of massive educational data, helping learners fill in knowledge gaps and improve cognition. [0003] However, the existing practice recommendation methods only recommend exercises based on learners’ preferences. The exercises recommended for learners may be relatively simple or difficult, which reduces learners’ learning efficiency and experience with practice recommendation services. . Contents of the invention [0004] The main purpose of this application is to solve the technical problem that the existing practice problem recommendation method does not take into account the learners' mastery of the knowledge points covered by the pra...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to solve the technical problem that the existing practice problem recommendation method does not take into account the learners' mastery of the knowledge points covered by the practice problems, and it is easy to recommend relatively simple or difficult practice problems. Compared with the difficulty value, several recommended practice questions are obtained from the question bank, and the recommended practice questions are recommended to the learners; the learner's ability value relative to the knowledge point is continuously updated according to the accuracy of the learner's answering questions, and as the learner improves the knowledge With the improvement of the ability to master the knowledge points, the difficulty of the recommended practice questions is also gradually increased, so that the learners can gradually and effectively improve the learners' ability to master the knowledge points when doing exercise training.

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