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

A technology of text information and test questions, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems of not being able to master knowledge points, ignoring learning characteristics, and ignoring learners' commonalities, etc.

Pending Publication Date: 2021-03-16
HUAZHONG NORMAL UNIV
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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

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

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Embodiment 1

[0181] The present invention is a kind of individualized examination paper composition method of fusion learner's cognitive characteristic and test question text information, and realization comprises the following steps:

[0182] Step 1: According to the learners' real answers and the distribution of knowledge points in the test questions, the cognitive diagnosis model is used to mine the learners' knowledge mastery and other learning status.

[0183] Step 2, use the recurrent neural network model to extract the text content of the test questions, and construct the mapping relationship between the learner's learning state and the text information of the test questions through the fully connected layer.

[0184] The third step is to construct a probability matrix decomposition objective function based on the learning status of the learners, the text information of the test questions and the cognitive commonality of the learners, and dig out the potential scores of the learners ...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/20G06N3/04G06N3/08
CPCG06Q10/06393G06Q50/2057G06N3/08G06N3/045Y02D10/00
Inventor 王志锋余新国左明章叶俊民张思闵秋莎罗恒夏丹姚璜杨洋
Owner HUAZHONG NORMAL UNIV
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