Self-adaptive learning method and system based on knowledge model and storage medium

A technology of self-adaptive learning and knowledge model, applied in the field of self-adaptive learning method, system and storage medium based on knowledge model, can solve the problems of low prediction accuracy, forgetting, and not taking into account the user's forgetfulness of knowledge points, etc. The effect of improving efficiency and accuracy

Pending Publication Date: 2020-04-10
广东宜学通教育科技有限公司
View PDF7 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, using a static model to construct a knowledge graph cannot represent the relevance and dynamic development characteristics of knowledge points. Moreover, IRT and BKT technologies assume that users will not forget a certain knowledge point once they have mastered it, and do not take into account the user's understanding of knowledge points. The forgetfulness of the knowledge poi...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-adaptive learning method and system based on knowledge model and storage medium
  • Self-adaptive learning method and system based on knowledge model and storage medium
  • Self-adaptive learning method and system based on knowledge model and storage medium

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0049] See Figure 1-5 .

[0050] Such as figure 1 As shown, the self-adaptive learning method based on a knowledge model provided by this embodiment includes at least the following steps:

[0051] S101: Collect initial learning data and store it in a learning resource database, after extracting and labeling the initial learning data on ontology terms, construct a knowledge model through an ontology editor;

[0052] Specifically, for step S101, collect initial learning data, including curriculum education goals, learning resources, curriculum structure, teaching strategies, and practice test question banks in various fields, and subject experts to extract the subject syllabus and textbook ontology terms in advance. According to the national curriculum standards, the learning resources are extracted and annotated on ontology terms. The labeling of ontology terms is also divided into two methods: system automatic labeling and manual labeling, which can switch to more efficient labelin...

no. 2 example

[0092] See Figure 6-7 .

[0093] Such as Image 6 As shown, an embodiment of the present invention also provides an adaptive learning system based on a knowledge model, including:

[0094] The resource database module 100 is used to collect initial learning data and store it in the learning resource database, and retrieve the corresponding learning resource data to the learner according to the learning path;

[0095] The knowledge model module 200 is used to construct a knowledge model through an ontology editor after extracting and labeling ontology terms from the initial learning data;

[0096] Specifically, for the resource database module 100 and the knowledge model module 200, the initial learning data is collected, including curriculum education objectives, learning resources, curriculum structure, teaching strategies and practice test question banks in various fields. The textbook extracts ontology terms, and extracts and labels the learning resources based on national curric...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an adaptive learning method and system based on a knowledge model, and a storage medium. The method comprises the steps: collecting initial learning data, storing the initial learning data in a learning resource database, carrying out the ontology term extraction and marking, and building the knowledge model through an ontology editor; initializing a knowledge space of thelearner according to a pre-measurement result of the learner in the learning system; updating the learning process state data input into the learner in real time, performing DKT model modeling of multiple knowledge points on the learning process state data through a DKT algorithm, feeding back the mastering state of each knowledge point of the learner, and dynamically updating the knowledge spaceof the learner; and the adaptive engine compares the knowledge space of the learner with the knowledge model, matches a learning path corresponding to the learner, and pushes a learning path link to the learner. According to the method, the DKT is tracked through deep learning based on the knowledge model, multi-knowledge-point modeling is effectively carried out, the latest knowledge state of a learner is accurately mastered and updated, and a corresponding learning path is matched.

Description

Technical field [0001] The present invention relates to the technical field of education informatization, in particular to an adaptive learning method, system and storage medium based on a knowledge model. Background technique [0002] With the advent of the Internet and big data era, traditional education methods are becoming more and more difficult to meet the growing individual learning needs of students. Adaptive online learning has gradually become widely used due to its characteristics such as teaching students in accordance with their aptitude and ease of use. An important part of adaptive learning is student ability assessment and learning resource recommendation, which all need to be based on a structured education domain knowledge system. Therefore, constructing an educational knowledge graph to support adaptive learning has become an urgent problem to be solved. [0003] In the process of research and practice of the prior art, the inventor of the present invention fou...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06N5/02
CPCG06N5/022
Inventor 周敏杨健明陈冠东吴梓聪
Owner 广东宜学通教育科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap