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Design of Computer-Aided Instruction Model Based on Knowledge Graph Construction and Learning Path Recommendation

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Title: Design of Computer-Aided Instruction Model Based on Knowledge Graph Construction and Learning Path Recommendation
Language: English
Authors: Bin Meng, Fan Yang (ORCID 0000-0002-3084-1324)
Source: International Journal of Web-Based Learning and Teaching Technologies. 2025 20(1).
Availability: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Peer Reviewed: Y
Page Count: 16
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation, Concept Mapping, Artificial Intelligence, Learning Strategies, Data Processing, Individualized Instruction, Teaching Methods, Flexible Progression, Continuous Progress Plan
DOI: 10.4018/IJWLTT.366803
ISSN: 1548-1093
1548-1107
Abstract: This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path recommendations. Learners select elements based on interests and learning bases, updating behavior data for precise path recommendations. The platform, employing distributed architecture, integrates data processing and teaching applications for comprehensive cycle management and assessment. Controlled experiments validate its efficacy in enhancing learning outcomes compared to traditional methods, catering to personalized learning needs and advancing intelligent teaching.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1462244
Database: ERIC
FullText Text:
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PubType: Academic Journal
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  Data: Design of Computer-Aided Instruction Model Based on Knowledge Graph Construction and Learning Path Recommendation
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  Data: <searchLink fieldCode="AR" term="%22Bin+Meng%22">Bin Meng</searchLink><br /><searchLink fieldCode="AR" term="%22Fan+Yang%22">Fan Yang</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3084-1324">0000-0002-3084-1324</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Web-Based+Learning+and+Teaching+Technologies%22"><i>International Journal of Web-Based Learning and Teaching Technologies</i></searchLink>. 2025 20(1).
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  Data: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
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  Data: 16
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  Data: <searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br /><searchLink fieldCode="DE" term="%22Teachers%22">Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+Representation%22">Knowledge Representation</searchLink><br /><searchLink fieldCode="DE" term="%22Concept+Mapping%22">Concept Mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Strategies%22">Learning Strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Processing%22">Data Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+Instruction%22">Individualized Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Flexible+Progression%22">Flexible Progression</searchLink><br /><searchLink fieldCode="DE" term="%22Continuous+Progress+Plan%22">Continuous Progress Plan</searchLink>
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  Data: 10.4018/IJWLTT.366803
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  Data: 1548-1093<br />1548-1107
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  Data: This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path recommendations. Learners select elements based on interests and learning bases, updating behavior data for precise path recommendations. The platform, employing distributed architecture, integrates data processing and teaching applications for comprehensive cycle management and assessment. Controlled experiments validate its efficacy in enhancing learning outcomes compared to traditional methods, catering to personalized learning needs and advancing intelligent teaching.
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  Data: 2025
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        PageCount: 16
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      – SubjectFull: Students
        Type: general
      – SubjectFull: Teachers
        Type: general
      – SubjectFull: Computer Assisted Instruction
        Type: general
      – SubjectFull: Knowledge Representation
        Type: general
      – SubjectFull: Concept Mapping
        Type: general
      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Learning Strategies
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      – SubjectFull: Data Processing
        Type: general
      – SubjectFull: Individualized Instruction
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      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: Flexible Progression
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      – SubjectFull: Continuous Progress Plan
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      – TitleFull: Design of Computer-Aided Instruction Model Based on Knowledge Graph Construction and Learning Path Recommendation
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            NameFull: Fan Yang
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              Y: 2025
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