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Knowledge tracking method, system, device and storage medium based on causal reasoning

A causal relationship and causal technology, applied in the field of equipment and storage media, systems, and knowledge tracking methods based on causal reasoning, can solve problems such as misleading students' knowledge state interpretation, and achieve the effect of reducing covariance

Active Publication Date: 2022-01-11
ZHEJIANG NORMAL UNIVERSITY
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Problems solved by technology

This is unreasonable, because one expects students' knowledge status to be a gradual transition over time, rather than alternating between mastered and not mastered. explanation of

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  • Knowledge tracking method, system, device and storage medium based on causal reasoning
  • Knowledge tracking method, system, device and storage medium based on causal reasoning
  • Knowledge tracking method, system, device and storage medium based on causal reasoning

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Embodiment Construction

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0020] It should be noted that although the functional modules are divided in the system schematic diagram and the logical order is shown in the flow chart, in some cases, it can be executed in a different order than the module division in the system or the flow chart steps shown or described. The terms "first", "second" and the like in the specification and claims and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence.

[0021] In general, the knowledge tracking task can be formulated as a supervised sequential...

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Abstract

The invention discloses a knowledge tracking method, system, equipment and storage medium based on causal reasoning, wherein the method includes: obtaining random variables and potential results, and determining the relationship between the random variables and potential results; Divided into confounding variables, adjustment variables and irrelevant variables; use the method of causal reasoning to analyze, and determine the conversion output of potential results according to the relationship between confounding variables, adjustment variables, random variables and potential results; according to the conversion output, determine the first target function; obtain the sample weight and determine the second objective function; determine the balance weight according to the second objective function and the sample weight, the balance weight can reduce the covariance between elements to help evaluate the causal relationship between a single variable and the outcome variable.

Description

technical field [0001] The present application relates to the field of knowledge tracking, in particular to a method, system, device and storage medium for knowledge tracking based on causal reasoning. Background technique [0002] With the success of artificial intelligence in modeling various fields, people hope to use algorithms to simulate the human ability to track the state of knowledge of students as they master specific skills or concepts, and predict the learning performance of students, which motivates people's interest in knowledge tracking. (Knowledge Tracing, KT) research. Knowledge tracking is a task of modeling the state of students' knowledge based on historical data, which represents the mastery level of students' knowledge. A well-known model for solving the KT problem is a recurrent neural network-based model called Deep Knowledge Tracing (DKT). Although DKT has achieved impressive performance in knowledge tracing tasks, DKT has a major problem , that is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N5/04G06N3/04G06N3/08
CPCG06N5/04G06N3/08G06N3/045
Inventor 黄昌勤朱佳黄琼浩梁婉莹
Owner ZHEJIANG NORMAL UNIVERSITY
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