Cognitive diagnosis method based on deep project reaction theory

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...

AI Technical Summary

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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