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Method for constructing knowledge structure based on personalized Bayesian knowledge tracking model

A knowledge structure, Bayesian technology, applied in the field of educational information model construction, can solve the problem of insufficient calculation of the learning rate of the calculator.

Inactive Publication Date: 2019-10-01
HARBIN INST OF TECH
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Problems solved by technology

[0004] In order to solve the problem of insufficient calculation of the calculator's learning rate in the prior art, the present invention proposes a method for constructing a knowledge structure based on a personalized Bayesian knowledge tracking model, and the adopted technical scheme is as follows:

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  • Method for constructing knowledge structure based on personalized Bayesian knowledge tracking model
  • Method for constructing knowledge structure based on personalized Bayesian knowledge tracking model
  • Method for constructing knowledge structure based on personalized Bayesian knowledge tracking model

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Embodiment 1

[0063] A method for constructing a knowledge structure based on a personalized Bayesian knowledge tracking model, the method comprising:

[0064] Step 1, establish observation matrix and state matrix; Described observation matrix is ​​O={o t},t∈[1,M], the observation matrix is ​​used to describe the result set of learners’ answers to knowledge points; the state matrix is ​​S={s i},i∈[1,T], which is used to describe the state set of learners’ mastery of knowledge points. M represents the number of observation results related to the topic of knowledge points; t represents the sequence number of observations; o t Indicates the tth state; s i Indicates the i-th state; i represents the serial number of the state; T represents the number of states;

[0065] Step 2, establishing a parameter model of the Bayesian knowledge tracking model, the parameter model is λ 1 ={PI k ,A k ,B k}, the parameter model describes the parameters representing knowledge points in the model; where t...

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Abstract

The invention provides a method for constructing a knowledge structure based on a personalized Bayesian knowledge tracking model, and belongs to the technical field of education information model construction. The method comprises the steps: step 1, establishing an observation matrix and a state matrix; step 2, establishing a parameter model of the Bayesian knowledge tracking model; step 3, establishing a parameter fusion model for fusing personalized parameters of the learner into a traditional Bayesian knowledge tracking parameter model; step 4, completing the calculation problem definitionof the parameter model obtained in the step 3 by using a forward algorithm and a backward algorithm; step 5, performing maximum log-likelihood estimation on the parameter model to obtain a loss function, and updating parameters [theta] by utilizing the loss function; calculating parameters and weight parameters according to the loss function, to obtain a personalized Bayesian knowledge-based tracking model, and finally, completing the construction of a knowledge structure.

Description

technical field [0001] The invention relates to a method for constructing a knowledge structure based on a personalized Bayesian knowledge tracking model, which belongs to the technical field of educational information model construction. Background technique [0002] Education informatization has entered a new stage of development, and it is transforming from digital education to smart education supported by modern information technologies such as big data analysis and artificial intelligence. The development and realization of the online education platform has enabled the diversified course types to cover a variety of learning methods and knowledge points, providing a favorable premise for building learners' knowledge models. Constructing a knowledge structure model, on the one hand, allows learners to recognize their own knowledge blind spots and strengthen learning; on the other hand, it can describe the learners' learning trajectory and learning intentions, and realize ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/21
CPCG06F16/212
Inventor 李全龙程朋祥
Owner HARBIN INST OF TECH
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