Multi-step hierarchical learner cognitive level mining method and system

Abstract

The invention belongs to the technical field of education data mining, and discloses a multi-step hierarchical learner cognitive level mining method and system. The method includes: constructing a test question-knowledge cognition level matrix P by combining target classification and cognition psychology in the Bloom cognition field, constructing a learner ideal answer matrix by integrating the learner knowledge cognition level matrix and the test question-knowledge cognition level matrix, and mining a learner knowledge mastering candidate set by utilizing maximum likelihood estimation; and comprehensively judging the global expectation of the elements in the candidate set to obtain the final knowledge cognition level of the learner, and visually outputting the result by using a radar map.According to the invention, after the knowledge cognition level of the learner is mined, the mining result fed back to the learner by using the radar map is more intuitive and popular and easy to understand, and the learner is assisted to adjust the learning scheme in time; the hidden parameters of the test questions mined by the model can evaluate the quality of the test questions forming the test, and the test accuracy and credibility are improved.

Description

technical field [0001] The invention belongs to the technical field of educational data mining, and in particular relates to a method and system for mining cognitive levels of learners with multi-step layers. Background technique [0002] Currently, the closest prior art: [0003] So far, the development of the whole test statistics theory can be divided into the standard test theory stage and the new generation test theory stage. Standard test theories represented by classical measurement theory and item response theory focus on the results of test scores, and cannot analyze and judge the internal psychological processing, processing skills and cognitive structures hidden behind learners' scores, ignoring the fact that they have the same Learners of test scores often have different cognitive structures and cognitive strategies. [0004] The new generation of measurement theory centered on cognitive diagnosis fully adopts the internal mechanism of cognitive psychology rela...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to solve the prior art. The IRT model models the learner as an object with a single ability value, and it is difficult to accurately describe the ability difference of the learner in different dimensions, that is, different knowledge points; the traditional DINA model can only Discretized estimation of learners' knowledge mastery, but cannot dig out their specific mastery of knowledge points, it is difficult to accurately describe the practical significance of the mining results, the interpretability of the mining results is not strong, and the granularity of the mining results is relatively coarse

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