Cognitive diagnosis method based on deep project reaction theory

A technology of item response theory and diagnosis method, which is applied in the field of deep learning and educational data mining, can solve the problems of data sensitivity, exercise text data to improve diagnosis effect, poor robustness, etc., to achieve enhanced effectiveness and robustness, Make up for large-scale training, make up for the effects of single-dimensionality and inability to cold start

Pending Publication Date: 2019-10-25
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

[0003] Traditional cognitive diagnosis methods are based on statistics, and only use the historical data of students' answering results to diagnose students, which is sensitive to data and has poor robustness
Around the problem of cognitive diagnosis, many researchers have proposed many methods, but none of these methods can use exercise text data to improve the diagnosis effect. However, the education field has accumulated a lot of exercise data, especially text data

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  • Cognitive diagnosis method based on deep project reaction theory
  • Cognitive diagnosis method based on deep project reaction theory
  • Cognitive diagnosis method based on deep project reaction theory

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Embodiment Construction

[0014] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0015] Embodiments of the present invention provide a cognitive diagnosis method based on deep item response theory, which is specifically implemented based on deep item response theory, such as figure 1 As shown, it mainly includes the following steps:

[0016] Step 11, obtaining the historical exercise data of the students.

[0017] In the embodiment of the present invention, the historical exercise data includes M exercises, the exercise descri...

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Abstract

The invention discloses a cognitive diagnosis method based on a deep project reaction theory. The cognitive diagnosis method comprises the following steps: acquiring historical exercise data of students; preprocessing the historical exercise data, and modeling the students and the exercise data by using a deep learning method and combining a preprocessing result to obtain potential characteristicsof the students, exercise difficulty and distinction degree; and according to the potential characteristics of the students and the difficulty and discrimination of the exercises, predicting the scores of the students on the exercises by utilizing a two-parameter model of the project reaction theory. According to the method, more effective, more detailed and more robust cognitive diagnosis results can be provided for students.

Description

technical field [0001] The invention relates to the fields of deep learning and educational data mining, in particular to a cognitive diagnosis method based on deep item response theory. Background technique [0002] The current big data and data mining technology is developing rapidly, especially in the field of education, where a large amount of exercise data is collected and widely used in education-related fields. For example, the recommendation of personalized test questions can recommend appropriate practice questions to students to strengthen students' proficiency in knowledge points or answering skills; adaptive testing can provide students with personalized test plans based on their own cognitive conditions. The basis of these applications is the accurate diagnosis of students' cognitive situation, that is, the degree of mastery of knowledge points or answering skills. [0003] Traditional cognitive diagnosis methods are based on statistics, and only use the histor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/335G06N3/04G06N3/08G06Q50/20
CPCG06F16/337G06F16/3344G06N3/08G06Q50/205G06N3/048G06N3/045
Inventor 刘淇陈恩红程松黄仔黄振亚陈玉莹马海平
Owner UNIV OF SCI & TECH OF CHINA
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