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Self-adaptive learning resource recommendation method and system based on knowledge graph

A technology of adaptive learning and knowledge graph, applied in the field of adaptive learning resource recommendation based on knowledge graph, to achieve the effect of accurate recommendation

Pending Publication Date: 2022-03-18
SUN YAT SEN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of how to improve the accuracy of learning resource recommendation, the present invention provides an adaptive learning resource recommendation method and system based on knowledge graph

Method used

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  • Self-adaptive learning resource recommendation method and system based on knowledge graph
  • Self-adaptive learning resource recommendation method and system based on knowledge graph
  • Self-adaptive learning resource recommendation method and system based on knowledge graph

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Embodiment 1

[0109] see figure 1 , this embodiment proposes an adaptive learning resource recommendation method based on knowledge graph, including:

[0110] A user cognitive diagnosis model is established, and a learning cognitive diagnosis is performed on the user through the user cognitive diagnosis model, and the user's mastery of knowledge points is predicted according to the diagnosis result.

[0111] Based on the existing I-DINA (I-Deterministic Inputs, Noisy "And" gate model) model, this embodiment constructs a cognitive model called AMI-DINA (AMI-Deterministic Inputs, Noisy "And" gate model) Diagnosis model, the construction of the AMI-DINA cognitive diagnosis model includes calculating the potential answering situation of the user on the test questions; calculating the user's guess to correctly answer the test questions by artificial guessing on the premise of not mastering the knowledge points involved in the test questions Calculate the error rate of users who fail to answer t...

Embodiment 2

[0121] see figure 2 , this embodiment proposes an adaptive learning resource recommendation method based on knowledge graph, including:

[0122] A user cognitive diagnosis model is established, and a learning cognitive diagnosis is performed on the user through the user cognitive diagnosis model, and the user's mastery of knowledge points is predicted according to the diagnosis result. The user cognitive diagnosis model in this embodiment uses the AMI-DINA cognitive diagnosis model. Specifically include the following steps:

[0123] Define the set P={p 1 , p 2 ,...,p U} is the user set, set T={t 1 , t 2 , ..., t V} is the set of topics, set C={c 1 , c 2 ,...,c K} is the set of knowledge points; the matrix Q is the knowledge point correlation matrix of the test question, and each element q in the matrix Q vk Indicates the topic t v For knowledge point c k The investigation situation of ; the matrix R is the user score matrix, and each element r in the matrix R uv...

Embodiment 3

[0248] see image 3 , This embodiment proposes an adaptive learning resource recommendation system based on knowledge graph, including: a user cognitive diagnosis module, a test question score prediction module, a knowledge graph construction module, a learning resource acquisition module and a recommendation module.

[0249] In the specific implementation process, the user's serious diagnosis module obtains the user's test data, test knowledge point correlation matrix, and user score matrix information, and uses the AMI-DINA cognitive diagnosis model to calculate the user's guess rate, error rate and potential answering situation. And consider the difficulty of the test questions, the forgetting curve and the number of answers, calculate the user's correct answer probability on the test questions to obtain the user's mastery of the knowledge points, and output the user's mastery of the knowledge points to the learning resource acquisition module;

[0250] The test question sc...

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Abstract

The invention provides a self-adaptive learning resource recommendation method and system based on a knowledge graph, and the method comprises the steps: building a user cognition diagnosis model and a test question score prediction model, predicting the mastering condition of a user for knowledge points and the scoring condition for uncompleted test questions, and then selecting a first candidate learning resource; a knowledge graph is constructed, knowledge points which are well mastered by the user and weak mastered by the user are respectively positioned in the knowledge graph according to the diagnosis result of the user cognition diagnosis model, and second candidate learning resources are selected; and screening out the optimal learning resource from the candidate learning resources, and recommending the optimal learning resource to the user. According to the method, the cognitive level of the user and the prediction condition of the score of the uncompleted test question by the user are considered, the semantic relation between the knowledge points is considered, the corresponding knowledge graph is constructed, the knowledge points which are well mastered and poorly mastered by the user are positioned in the knowledge graph in combination with the cognitive diagnosis result of the user, and the user experience is improved. And learning resources most suitable for the user are selected and recommended to the user.

Description

technical field [0001] The present invention relates to the technical field of online learning, and more particularly, to a method and system for recommending adaptive learning resources based on knowledge graphs. Background technique [0002] With the rapid development of technology, online learning has become one of the most important ways of learning. As an important part of online learning, online teaching resources are increasingly important in promoting users' cognitive level, improving users' practical ability and cultivating users' advanced thinking ability. However, the explosive growth of online educational resources gradually makes learners face problems such as "information overload" and "knowledge trek". How to provide learners with personalized learning services and recommend appropriate educational resources is a problem that needs to be solved at present. [0003] There is a method for recommending sequential exercises based on cognitive diagnosis. This met...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/36G06F17/16G06N3/04G06N3/08
CPCG06F16/9535G06F16/367G06F17/16G06N3/08G06N3/045
Inventor 吴迪汤国频胡淼
Owner SUN YAT SEN UNIV
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