An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach
This provides a foundational tool for researchers and practitioners in education to model life circumstances affecting student achievements, though it is incremental as it adapts existing ontology methods to a new domain.
The paper tackles the lack of a standardized framework for Social Determinants of Education (SDoEd) by introducing an ontology developed using a human-AI collaborative approach with ChatGPT-3.5, resulting in a version containing 231 domain concepts, 10 object properties, and 24 data properties.
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