Autor: |
Zachary W. Taylor, Kayla Stan |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
|
Zdroj: |
Education Sciences, Vol 14, Iss 11, p 1248 (2024) |
Druh dokumentu: |
article |
ISSN: |
2227-7102 |
DOI: |
10.3390/educsci14111248 |
Popis: |
Little is known about the funding organizations and mechanisms behind artificial intelligence (AI) research conducted in United States (U.S.) educational systems (K12 and higher education). This study therefore performs a bibliometric and network analysis of AI research conducted in U.S. educational systems to explore which types of organizations fund peer-reviewed scholarship, which organizations receive this funding, and how these organizations form funded research networks. The results suggest evidence of institutional stratification, with non-U.S. government organizations (such as in China and Europe) funding many AI studies within U.S. educational systems. Moreover, the data suggest stratified funding networks have marginalized Minority-Serving Institutions, consolidating the influence of AI research conducted in U.S. educational systems among few, elite, and predominately White institutions. The implications for research and policy advocacy are also addressed. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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