Inteligencia artificial generativa en la educación superior: Análisis empírico y modelado predictivo con Python

This study addresses the critical gap between the rapid and widespread adoption of generative artificial intelligence by students and the slow response capacity of higher education institutions. To inform the development of effective educational policies and strategies, quantitative research was...

詳細記述

書誌詳細

主要な著者:	Espinoza Mina, Marcos Antonio, Colina Vargas, Alejandra Mercedes
フォーマット:	Online
言語:	スペイン語
出版事項:	Editorial Grupo AEA 2026
主題:	Inteligencia Artificial Generativa Educación Superior Percepciones Estudiantiles Pragmatismo Crítico Machine Learning thema EDItEUR::U Computing and Information Technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
オンライン･アクセス:	https://directory.doabooks.org/handle/20.500.12854/173365
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