Question set data processing method and device based on artificial intelligence, and computer equipment

Abstract

The invention relates to a question set data processing method and device based on artificial intelligence, computer equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: for a target question set, determining associated knowledge points of each question in the target question set; obtaining knowledge point graph features corresponding to the associated knowledge points; extracting question semantic features of each question in the target question set, and inputting the question semantic features and the knowledge point graph features into a pre-trained answer result prediction model to obtain a predicted answer result for the target question set; wherein the pre-trained answer result prediction model is obtained through training based on historical answer data of a user account; and determining a matching degree between the user account and each associated knowledge point according to the predicted answering result. By adopting the method, the mastering state of the students on the knowledge points related to the target question set can be accurately predicted before an examination.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based method, device, computer equipment, and storage medium for processing topic set data. Background technique [0002] In teaching practice, schools often conduct targeted assessments on students at different learning stages in a semester, and checking students' learning ability and knowledge reserves through examinations is the current mainstream assessment method. [0003] When students are assessed by means of examinations, most of them directly extract several test questions from a fixed question bank to form a complete set of examination papers and distribute them to students for examination. However, this method can only determine the students' mastery of the knowledge points involved in the test paper based on the answer paper submitted by the students after the test, making it impossible for the school to determine w...

AI Technical Summary

Problems solved by technology

However, this method can only determine the students' mastery of the knowledge points involved in the test paper based on the answer paper submitted by the students after the test, making it impossible for the school to determine whether the test paper can well assess the students' knowledge before the test. Weak points in knowledge, so it is impossible to determine the effect of the test paper on students' knowledge points

[0004] Therefore, there is a problem in the related technology that it is impossible to predict the students' mastery status of the knowledge points involved in the test paper before the test.

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