Technology in Higher Education: A Collaborative Innovation Ecosystem Model

Ignacio Chang, Elvira Durán-Rojas, Héctor Montes, Olga Jape Collins, Pablo Cárdenas, Leslie Cieza, Víctor López Cabrera

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The current reality places technology at the forefront of the educational communication process, especially considering the health emergency brought on by COVID-19. Creating mechanisms to facilitate the continuity of teaching represented one of the greatest challenges during the pandemic. A collaborative, innovative ecosystem model targeted towards the teaching-learning process is developed. An exploratory, descriptive study with a mixed-methods approach is conducted; cases from universities in Colombia, Panama, Peru, and the Dominican Republic are examined, surveys are implemented, and classroom and university experiences are recounted. Each study experience generates a space for teachers to discuss and reflect on the students’ progress and the methodologies applied for flexibility and adaptability to available information technologies. In this way, the foundation for a collaborative innovation ecosystem is proposed to organically strengthen student knowledge through articulated structures, functional relationships, and supportive methods and procedures. An active control system is also proposed to ensure meaningful learning. This experience leaves alternative options for all universities and the education system for health emergencies that prevent face-to-face interaction, taking advantage of new information technologies and the era of artificial intelligence.

Idioma originalInglés
Título de la publicación alojadaAdvances in Automation and Robotics Research - Proceedings of the 4th Latin American Congress on Automation and Robotics
EditoresManuel N. Cardona, José Baca, Cecilia Garcia, Isela G. Carrera, Carol Martinez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas1-19
Número de páginas19
ISBN (versión impresa)9783031547621
DOI
EstadoPublicada - 2024
Evento4th Latin American Congress on Automation and Robotics, LACAR 2023 - San Salvador, El Salvador
Duración: 15 nov. 202317 nov. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen940 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia4th Latin American Congress on Automation and Robotics, LACAR 2023
País/TerritorioEl Salvador
CiudadSan Salvador
Período15/11/2317/11/23

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