An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach

TL;DR

This paper introduces a new ontology for Social Determinants of Education (SDoEd), created through human-AI collaboration, to better understand how students' life circumstances influence educational outcomes.

Contribution

It presents the first standardized SDoEd ontology, developed with AI assistance and validated by experts, filling a gap in educational social determinants modeling.

Findings

Ontology contains 231 concepts, 10 object properties, 24 data properties.

Validated through peer-reviewed research and expert evaluation.

Provides a structured framework for future research in educational social determinants.

Abstract

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