Knowledge measurement-oriented test question, knowledge and ability tensor construction and labeling method

A technology of ability labeling and test questions, applied in neural learning methods, neural architecture, character and pattern recognition, etc., can solve problems such as low accuracy, inability to diagnose learners' knowledge mastery and knowledge cognition level, and long labeling time.

Active Publication Date: 2020-06-05
HUAZHONG NORMAL UNIV
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Problems solved by technology

However, in most cases, the project parameters obtained from the wrongly marked Q matrix at the beginning have large errors, which will seriously affect the accuracy of the Q matrix estimation results based on the project parameters
[0013] The third is to estimate the Q matrix based on the learner's response data. This method is mainly divided into non-parametric estimation method and parameter estimation method. lower sex
[0015] (1) In the prior art, for the characterization of the relationship between subject knowledge and test questions, the current research mainly focuses on the representation of the relationship between learners-test questions and test questions-knowledge, and does not comprehensively consider and represent the relationship between test questions-knowledge-ability , resulting in the failure of the follow-up diagnostic model to obtain effective support from the...

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  • Knowledge measurement-oriented test question, knowledge and ability tensor construction and labeling method
  • Knowledge measurement-oriented test question, knowledge and ability tensor construction and labeling method

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[0115] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0116] The purpose of the present invention is to solve the problem that in the prior art, the relationship between test questions, knowledge and ability cannot be comprehensively considered and represented, so that the subsequent diagnosis model cannot obtain effective support from the data layer; the labeling of test questions is all done manually, while online learning On the platform, there are a large number of unmarked test questions. If the test questions are marked by education experts in the subject field, the labor cost will be high, the marking time will be long, and the accuracy rate will be low, which will direc...

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Abstract

The invention belongs to the technical field of education data mining, and discloses a knowledge measurement-oriented test question, knowledge and ability tensor construction and labeling method. In combination of a Q matrix and Bloom cognitive field education target classification, knowledge point mastering is divided into six cognitive ability levels: knowing, understanding, application, analysis, integration, evaluation and test question, knowledge and ability tensor construction. An interpretable test question label prediction model is constructed by adopting an active learning strategy, interpretable label prediction information entropies are obtained, unlabeled samples are input into the prediction model by utilizing the trained interpretable test question label prediction model, andthe label prediction information entropies with relatively high interpretability are fed back, so that man-machine coordination is carried out. According to the method, the influence of subjectivityof manual labeling on the TKA tensor is reduced, the labeling accuracy and efficiency are high, and the expert labor cost is greatly reduced. The method is high in mobility, can be applied to examination and annotation of test question knowledge points of all subjects, and is better in applicability.

Description

technical field [0001] The invention belongs to the technical field of educational data mining, and in particular relates to a test question, knowledge and ability tensor construction and labeling method for knowledge measurement. Background technique [0002] Currently, the closest prior art: In the field of education, the diagnostic assessment of an individual's knowledge structure, cognitive processing skills, or cognitive process is usually called a cognitive diagnostic assessment. Knowledge or cognitive processing skills are collectively referred to as attributes, and learners' knowledge structure and cognitive processing skills are latent variables that cannot be directly observed. In the evaluation theory of cognitive diagnosis, attribute is the most basic concept, which refers to those potential and implicit psychological characteristics that affect the external behavior of the subjects. In a teaching test, the subject is the learner, whose external behavior is refl...

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Application Information

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IPC IPC(8): G06F16/33G06F16/35G06Q10/06G06Q50/20G06N3/04G06N3/08G06K9/62
CPCG06F16/3335G06F16/3344G06Q10/0639G06F16/35G06Q50/205G06N3/08G06N3/047G06N3/044G06N3/045G06F18/2415G06F18/241
Inventor 王志锋刘继斌左明章叶俊民罗恒闵秋莎童名文田元夏丹
Owner HUAZHONG NORMAL UNIV
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