Eye-Tracking and STEAM education for a sustainable future: A bibliometric exploration of global trends and SDGs contributions

Abstract

The integration of eye-tracking technology with STEAM approaches (ET-STEAM) holds promise for personalized learning and sustainable development. This study aims to analyze global trends, publication patterns, key contributors, and thematic evolution in ET-STEAM research and its alignment with the Sustainable Development Goals (SDGs). The method used is bibliometrics and literature review using data from Web of Science. The tools used are Bibliometrix and CiteSpace. The findings show rapid growth in ET-STEAM research over the past decade, with strong links to SDG 4 (Quality Education) and emerging links to SDGs 3 and 9. The United States, China, and the University of London lead the way in contributions, along with top researchers such as Akanmu and Kuhn. Limited attention to goals such as Gender Equality and Sustainable Cities indicates areas for future research. This research update comprehensively maps global research trends on Eye-Tracking and STEAM education through bibliometric analysis, revealing their growing contribution to sustainability, especially within the SDG framework.