A Formal Model for Personalized Learning Path using Artificial Intelligence for Instructional Planning with a Focus on 21st-Century Skills and Environmental Awareness

Manuel F. Caro, Lina Quitian, Juan C. Giraldo, Claudia Lengua-Cantero

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

2 Citas (Scopus)

Resumen

In the era of rapidly evolving technological advancements and the growing importance of 21st-century skills and environmental consciousness, education systems face the challenge of providing personalized learning experiences that cater to individual student needs while fostering critical thinking, problem-solving abilities, and environmental awareness. This paper presents a formal model for personalizing learning paths through the integration of artificial intelligence (AI) into in- structional planning. The proposed model accounts for varying difficulty levels in learning activities related to 21st-century skills and environmental care, creating a comprehensive framework for optimizing student learning paths.

Idioma originalInglés
Título de la publicación alojada1st IEEE Colombian Caribbean Conference, C3 2023
EditoresPaul Sanmartin Mendoza, Andres Navarro
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350341799
DOI
EstadoPublicada - 2023
Publicado de forma externa
Evento1st IEEE Colombian Caribbean Conference, C3 2023 - Barranquilla, Colombia
Duración: 22 nov. 202325 nov. 2023

Serie de la publicación

Nombre1st IEEE Colombian Caribbean Conference, C3 2023

Conferencia

Conferencia1st IEEE Colombian Caribbean Conference, C3 2023
País/TerritorioColombia
CiudadBarranquilla
Período22/11/2325/11/23

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