Test question distribution method and system

Abstract

The invention discloses a test question distribution method. The method comprises the following steps: a training data set comprises behavior feature data, test question feature data and test scores of a plurality of samples; the behavior characteristic data comprises statistical data of access behaviors of resources; the test question feature data is data used for representing test question identifiers or evaluation values; according to the behavior characteristic data of the current student and the characteristic data of the to-be-distributed test questions, combining the training data set for regression fitting calculation to obtain test score prediction values corresponding to the current student and the to-be-distributed test questions; and comparing the test score prediction values of the plurality of to-be-distributed test questions of the current student, and determining the to-be-distributed test question when the test score prediction value is maximum. The invention further comprises a device for implementing the method. The problem that learning software in the prior art is low in learning resource output efficiency during repeated learning and cannot adapt to specific conditions of students is solved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method and system for distributing test questions in intelligent learning application scenarios. Background technique [0002] In the current online learning process in the form of recording and broadcasting, all students will learn under a unified content and progress framework, and learning feedback is mainly through students' spontaneous inquiries. Due to the differences in personal circumstances, the learning effect of each student is often not the same after spending the same time. [0003] In the current learning form, there is a lack of efficient feedback and effective tracking, and it is also difficult to meet the individualized learning needs of students. At the same time, it is difficult for students to accurately assess the relationship between the importance of content and their own weaknesses, and reasonably arrange the pace of learning and review. Th...

AI Technical Summary

Problems solved by technology

[0004] This application proposes a method and system for distributing test questions, which solves the problems that the learning software in the prior art is inefficient in outputting learning resources during repeated learning and cannot adapt to the specific conditions of students

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