Implementation of Virtual Assistants based on Generative Artificial Intelligence created in the EDU-INNOVA Laboratory to improve the Teaching of Teachers

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This exploratory study investigates the implementation of four virtual assistants designed to enhance the teaching management of university professors without compromising educational quality or student engagement. A mixed-methods approach, descriptive-exploratory in nature, was adopted using a non-...

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Detalles Bibliográficos
Autores: López Tineo, Nataly Katherine Virginia, Reyes Tejada, Grecia Stefany, Wong Lam, Lorenzo Javier, Llanco Gonzales, Diego Israel
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Científica del Sur
Repositorio:Revistas - Universidad Científica del Sur
Lenguaje:español
OAI Identifier:oai:revistas.cientifica.edu.pe:article/1990
Enlace del recurso:https://revistas.cientifica.edu.pe/index.php/desdeelsur/article/view/1990
Nivel de acceso:acceso abierto
Materia:Virtual Assistants
innovation
generative artificial intelligence
teaching management Professors
ChatGPT
higher education
Asistentes virtuales
innovación
inteligencia artificial generativa
gestión de enseñanza
educación superior
Descripción
Sumario:This exploratory study investigates the implementation of four virtual assistants designed to enhance the teaching management of university professors without compromising educational quality or student engagement. A mixed-methods approach, descriptive-exploratory in nature, was adopted using a non-experimental cross-sectional design. The study population consisted of full-time faculty members from the Department of Basic Courses who achieved the highest scores in their teaching performance evaluations. The Minimum Viable Product (MVP) sample included nine of these Universidad Científica del Sur’s faculty members, impacting a total of 1060 students. The results indicate significant improvements in optimizing faculty time and the quality of educational activities provided, demonstrating the potential of ChatGPT-based virtual assistants to optimize teaching management in higher education.
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