Artificial Intelligence in higher education: a decade’s bibliometric snapshot, emerging themes and future research DOI Open Access
Mavis Chamboko-Mpotaringa, Blandina Manditereza

International Journal of Research in Business and Social Science (2147-4478), Год журнала: 2024, Номер 13(8), С. 192 - 202

Опубликована: Дек. 19, 2024

Artificial intelligence has become an integral part of higher education, significantly transforming the landscape education. This study aims to identify, analyse and visualise peer-reviewed academic research output on artificial (AI) graduate attributes in Data was gathered from Scopus database over a decade (2014-2024), with search terms related intelligence, attributes, Following PRISMA method guidelines, 106 articles were deemed necessary for review. Bibliometric methods, content thematic analysis used identify main themes, VoSviewer software data. The findings revealed productivity, citation overview, subjects, territory leading researchers, choices future opportunities directions. Themes such as impacts AI emerged, which may assist policymakers, educational institutions, teachers students their strategies adopting using AI. recognised trends, provided insights into current state education research, identified potential gaps literature AI, can guide researchers emerging opportunities.

Язык: Английский

Artificial Intelligence in higher education: a decade’s bibliometric snapshot, emerging themes and future research DOI Open Access
Mavis Chamboko-Mpotaringa, Blandina Manditereza

International Journal of Research in Business and Social Science (2147-4478), Год журнала: 2024, Номер 13(8), С. 192 - 202

Опубликована: Дек. 19, 2024

Artificial intelligence has become an integral part of higher education, significantly transforming the landscape education. This study aims to identify, analyse and visualise peer-reviewed academic research output on artificial (AI) graduate attributes in Data was gathered from Scopus database over a decade (2014-2024), with search terms related intelligence, attributes, Following PRISMA method guidelines, 106 articles were deemed necessary for review. Bibliometric methods, content thematic analysis used identify main themes, VoSviewer software data. The findings revealed productivity, citation overview, subjects, territory leading researchers, choices future opportunities directions. Themes such as impacts AI emerged, which may assist policymakers, educational institutions, teachers students their strategies adopting using AI. recognised trends, provided insights into current state education research, identified potential gaps literature AI, can guide researchers emerging opportunities.

Язык: Английский

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