构建教育社会决定因素本体，用AI辅助梳理学生背景与学业成就关系
An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach
- 用ChatGPT建议+专家评审构建教育社会决定因素本体
- 本体含231个概念、10个对象属性、24个数据属性
- 适用于教育政策研究者与智能教育系统开发者
计算本体在医学信息学中已广泛应用，社会健康决定因素（SDoH）也受到广泛关注。然而，教育社会决定因素（SDoEd）尚缺乏标准化框架。本文通过引入SDoEd本体，实现对学生生活状况与其教育成就之间相互作用的精确概念化。本体基于ChatGPT-3.5-010422的建议构建，并通过同行评审文献验证。第一版本体由教育领域专家评估，并使用标准本体评价软件验证。该版本包含231个领域概念、10个对象属性和24个数据属性。
原文摘要 · Abstract (English)
The use of computational ontologies is well-established in the field of Medical Informatics. The topic of Social Determinants of Health (SDoH) has also received extensive attention. Work at the intersection of ontologies and SDoH has been published. However, a standardized framework for Social Determinants of Education (SDoEd) is lacking. In this paper, we are closing the gap by introducing an SDoEd ontology for creating a precise conceptualization of the interplay between life circumstances of students and their possible educational achievements. The ontology was developed utilizing suggestions from ChatGPT-3.5-010422 and validated using peer-reviewed research articles. The first version of developed ontology was evaluated by human experts in the field of education and validated using standard ontology evaluation software. This version of the SDoEd ontology contains 231 domain concepts, 10 object properties, and 24 data properties
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