Personalized test paper composition method and system fusing cognitive characteristics and test question text information

Abstract

The invention belongs to the technical field of intelligent education, and discloses a personalized test paper composition method and system fusing cognitive characteristics and test question text information, and the method comprises the following steps: firstly predicting the score of a learner on a specific test question based on the cognitive level through a cognitive diagnosis model; predicting scores of the learners on the specific test questions based on text information by using a recurrent neural network model; constructing a probability matrix decomposition target function on the basis of the obtained learner based on the cognitive level and the prediction score of the text information, and predicting the potential score of the learner on the specific test question; and finally,calculating KL divergence by utilizing the estimated learner knowledge mastering vector and the learner incremental knowledge mastering vector, and selecting test questions with increased learner knowledge mastering trend and proper difficulty to form personalized test paper in combination with the potential score of the learner on the test questions. According to the invention, the test paper forming result can be customized according to the test target and the test question difficulty, and the autonomous learning efficiency of learners is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent education, and in particular relates to a method and system for individualized paper composition which integrates cognitive characteristics and test question text information. Background technique [0002] At present, with the rapid development of the Internet and the advent of the era of big data, the traditional education industry has gradually begun to transform into digital education. Massive educational resources are shared as information on online education platforms for learners to download and study. As an important resource in education, test questions of various subjects are widely used by learners to consolidate the knowledge learned in the classroom. However, it is difficult for learners to directly select the test questions that are really suitable for them from the massive test questions, and more The most important thing is to use the sea of ​​questions tactics for training. In ...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to solve the problem that in the prior art, the traditional individualized examination paper method ignores the influence of the text information of the test questions on the learners' answer; The parameter estimation in the model is sensitive to the data set and may cause large errors; the method of using collaborative filtering to compose test papers cannot be practiced according to the knowledge points of the learners, and can only be composed according to the learning commonality of similar learners , ignoring the learning characteristics of the learners in the learning process, the interpretability of the test results is poor

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