4203. Machine Learning Meets SDGs: A Framework for Sustainable Development in Higher Education Using Bibliometric Data
Invited abstract in session HF-14: OR conjectures for AI, stream OR and Ethics, and Societal Perspectives.
Thursday, 16:15-17:45Room: HG – Hörsaal 01
Authors (first author is the speaker)
| 1. | Violeta Cvetkoska
|
| Management, Ss. Cyril and Methodius University in Skopje, Faculty of Economics-Skopje | |
| 2. | Bojan Kitanovikj
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| Management, Ss. Cyril and Methodius University in Skopje, Faculty of Economics - Skopje | |
| 3. | Ljupcho Eftimov
|
| Management, Ss. Cyril and Methodius University in Skopje, Faculty of Economics - Skopje |
Abstract
This study examines how higher education institutions (HEIs) use machine learning (ML) to advance UN’s Sustainable Development Goals (SDGs). Using a PRISMA-based bibliometric analysis of Web of Science publications, it maps key themes, collaboration patterns, and research trends through co-occurrence, bibliographic coupling, and co-authorship analyses. Five thematic clusters emerged: sustainability pedagogy and SDG integration, learning analytics, smart and green campus operations, digital inclusion, and ethics. The study offers guidance for future research and university decision-making.
Keywords
- Machine Learning
- Education
- Development
Status: accepted
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