Exploring the Stratified Nature of Artificial Intelligence Educational Research Funding: A Bibliometric and Network Analysis

• In Event: Artificial Intelligence and the New Technological Environment of Higher Education

Abstract

Little is known about the funding organizations and mechanisms behind artificial intelligence (AI) research in United States (U.S.) educational settings. As a result, this study performs a bibliometric and network analysis of AI research in U.S. educational settings to explore which types of organizations fund peer-reviewed scholarship, which organizations receive this funding, and how these organizations form funded research networks. Results suggest evidence of institutional stratification, with non-U.S. government organizations (ex: China, Europe) funding many AI studies within U.S. schools. Moreover, data suggests stratified funding networks have marginalized Minority-Serving Institutions, consolidating the influence of AI research in U.S. educational settings among few, elite, predominately White institutions. Implications for research and policy advocacy are addressed.

Authors

• Zach Taylor, John Burton Advocates for Youth

• Kayla Stan, University of Southern Mississippi