AI-Based Intelligent Construction and Application of Fundamental Medical Knowledge Graph

教育数字化是赋能教育高质量发展的关键引擎,是建设教育强国的战略支点,如何重新定义“教”与“学”的关系,达到真正的因材施教,促进学生全面发展。本文就《基础医学概论》的课程进行知识图谱构建,着重论述了数字化知识图谱建设的内容要素和实践途径。在智慧教育领域形成了可复制的示范模式,为新时代医学与工程交叉人才培养提供了基础。Educational digitization serves as a key engine for empowering high-quality educational development and a strategic pivot for building a strong educational nation. It is essential to redefine the relationship between “teaching” and “learning” to achieve genuine personalized education and promote the all-round development of students. This paper focuses on the construction of a knowledge graph for the Fundamental Medical Concepts course, elaborating on the key elements and practical approaches of digital knowledge graph development. It establishes a replicable exemplary model in the field of smart education, providing a foundation for cultivating interdisciplinary talents in medicine and engineering in the new era.

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Publication Details

Journal
Advances in Education
Published
2025-01-01
DOI
https://doi.org/10.12677/ae.2025.1561002
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Based Intelligent Construction and Application of Fundamental Medical Knowledge Graph

晓红 何
Advances in Education
Advanced Graph Neural Networks
article

AI-Based Intelligent Construction and Application of Fundamental Medical Knowledge Graph

晓红 何
article en

Abstract

教育数字化是赋能教育高质量发展的关键引擎,是建设教育强国的战略支点,如何重新定义“教”与“学”的关系,达到真正的因材施教,促进学生全面发展。本文就《基础医学概论》的课程进行知识图谱构建,着重论述了数字化知识图谱建设的内容要素和实践途径。在智慧教育领域形成了可复制的示范模式,为新时代医学与工程交叉人才培养提供了基础。Educational digitization serves as a key engine for empowering high-quality educational development and a strategic pivot for building a strong educational nation. It is essential to redefine the relationship between “teaching” and “learning” to achieve genuine personalized education and promote the all-round development of students. This paper focuses on the construction of a knowledge graph for the Fundamental Medical Concepts course, elaborating on the key elements and practical approaches of digital knowledge graph development. It establishes a replicable exemplary model in the field of smart education, providing a foundation for cultivating interdisciplinary talents in medicine and engineering in the new era.

Advances in EducationVol. 15(06)
Openalex Percentile: Top 93%
Advanced Graph Neural Networks
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