Management trends and implementation of AI in university management DOI
John Edisson García Peñaloza,

Alexis Ferley Bohórquez,

P. Balaguera

и другие.

Data & Metadata, Год журнала: 2025, Номер 4, С. 866 - 866

Опубликована: Март 6, 2025

The objective of this article was to explore managerial trends and the implementation artificial intelligence in university management, with a particular focus on Latin American context. To end, mixed study designed, operationalized through documentary review bibliometric procedures, qualitative thematic analysis, triangulation system, an integration data supported by external sources. results were organized into five management strategies, three emerging trends, recommendations for managers, main themes. These reflect significant progress, but also pose challenges, especially regions structural inequalities resource constraints. analyzed indicate need balanced approach that combines technological innovation ethical social considerations. Furthermore, findings emphasize importance international collaboration local capacity building ensure equitable sustainable AI. It is concluded it cardinal underline potential AI transform higher education, provided technical, ethical, challenges are addressed comprehensively.

Язык: Английский

Management trends and implementation of AI in university management DOI
John Edisson García Peñaloza,

Alexis Ferley Bohórquez,

P. Balaguera

и другие.

Data & Metadata, Год журнала: 2025, Номер 4, С. 866 - 866

Опубликована: Март 6, 2025

The objective of this article was to explore managerial trends and the implementation artificial intelligence in university management, with a particular focus on Latin American context. To end, mixed study designed, operationalized through documentary review bibliometric procedures, qualitative thematic analysis, triangulation system, an integration data supported by external sources. results were organized into five management strategies, three emerging trends, recommendations for managers, main themes. These reflect significant progress, but also pose challenges, especially regions structural inequalities resource constraints. analyzed indicate need balanced approach that combines technological innovation ethical social considerations. Furthermore, findings emphasize importance international collaboration local capacity building ensure equitable sustainable AI. It is concluded it cardinal underline potential AI transform higher education, provided technical, ethical, challenges are addressed comprehensively.

Язык: Английский

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