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

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

Active Publication Date: 2021-06-29
ZHEJIANG NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
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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 and equipment based on causal reasoning and storage medium
  • Knowledge tracking method, system and equipment based on causal reasoning and storage medium
  • Knowledge tracking method, system and equipment based on causal reasoning and storage medium

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Embodiment Construction

[0027] In order to make the purpose, technical solutions 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.

[0028] 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", etc. in the specification and claims and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific order or sequence.

[0029] In general, the knowledge tracking task can be formulated as a supervised sequential learning...

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Abstract

The invention discloses a knowledge tracking method, system and device based on causal reasoning and a storage medium, and the method comprises the steps: obtaining a random variable and a potential result, and determining a relational expression between the random variable and the potential result; obtaining observation variables, and dividing the observation variables into hybrid variables, adjustment variables and irrelevant variables; analyzing by adopting a causal reasoning method, and determining conversion output of the potential result according to a mixed variable, an adjustment variable and a relational expression between a random variable and the potential result; determining a first objective function according to the conversion output; obtaining a sample weight and determining a second objective function; based on the second objective function and the sample weights, determining a balance weight that can reduce covariance between the elements to assist in evaluating the causal relationship between the single variable and the resulting 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 inference. 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 students' knowledge status 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, the ...

Claims

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Application Information

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Patent Type & Authority Applications(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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