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 |
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| Language: | English |
| Authors: | Bin Meng, Fan Yang (ORCID |
| 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 |
| 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. |
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| ISSN: | 1548-1093 1548-1107 |
| DOI: | 10.4018/IJWLTT.366803 |
