dc.contributor.advisor | MSC. ELIZABETH DE MORA LITARDO | |
dc.contributor.author | ARICHABALA ESPINOZA MISAEL DIEGO | |
dc.contributor.author | REMACHE DÍAZ KAREN ISABEL | |
dc.date.accessioned | 2024-10-24T14:27:36Z | |
dc.date.available | 2024-10-24T14:27:36Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://dspace.utb.edu.ec/handle/49000/17643 | |
dc.description | Artificial intelligence is growing exponentially, and its application in education is becoming increasingly important, this article focuses on analyzing the impact of a specific AI system called “JENNI” to improve the autonomous learning of students in the Basic Education career at the Technical University of Babahoyo during the academic period from April to August 2024. It explores how students interact with Jenny and its impact on motivational skills and self-regulation that are fundamental in the digital world.
The research will be descriptive and explanatory, focused on understanding how Jenni AI is used in the autonomous learning of Basic Education students and the results obtained. It will use a mixed approach combining qualitative and quantitative data to obtain a complete understanding of the phenomenon. Numerical data will identify the results of using Jenni AI, while qualitative data will provide a detailed and contextualized understanding. In addition, the documentary research will be based on the collection and analysis of existing information in books, articles and reports, which is essential to support the data and obtain reliable results on the incidence of Jenni AI in the autonomous learning of students in the Basic Education career of the Technical University of Babahoyo. | es_ES |
dc.description | Artificial intelligence is growing exponentially, and its application in education is becoming increasingly important, this article focuses on analyzing the impact of a specific AI system called “JENNI” to improve the autonomous learning of students in the Basic Education career at the Technical University of Babahoyo during the academic period from April to August 2024. It explores how students interact with Jenny and its impact on motivational skills and self-regulation that are fundamental in the digital world.
The research will be descriptive and explanatory, focused on understanding how Jenni AI is used in the autonomous learning of Basic Education students and the results obtained. It will use a mixed approach combining qualitative and quantitative data to obtain a complete understanding of the phenomenon. Numerical data will identify the results of using Jenni AI, while qualitative data will provide a detailed and contextualized understanding. In addition, the documentary research will be based on the collection and analysis of existing information in books, articles and reports, which is essential to support the data and obtain reliable results on the incidence of Jenni AI in the autonomous learning of students in the Basic Education career of the Technical University of Babahoyo. | es_ES |
dc.description.abstract | La inteligencia artificial está creciendo exponencialmente, y su aplicación en la educación es cada vez más importante, este artículo se enfoca en analizar la incidencia de un sistema de IA específico llamado “JENNI” para mejorar el aprendizaje autónomo de los estudiantes de la carrera de Educación Básica en la Universidad Técnica de Babahoyo durante el período académico de abril a agosto de 2024. Donde se Explora cómo los estudiantes interactúan con Jenny y su impacto en las habilidades motivacionales y la autorregulación que son fundamentales en el mundo digital.
La investigación será de tipo descriptivo y explicativo, enfocada en entender cómo se utiliza Jenni AI en el aprendizaje autónomo de los estudiantes de Educación Básica, los resultados obtenidos, emplean un enfoque mixto que une datos cualitativos como cuantitativos para conseguir un discernimiento íntegro del acontecimiento, los datos numéricos identificarán los resultados del uso de Jenni AI, en tanto que los datos cualitativos se ajustan a una comprensión detallada y contextualizada. Por otro lado, la investigación documental se fundamenta en la recolección y análisis de información existente en libros, artículos e informes, lo cual es esencial para respaldar los datos y obtener resultados confiables sobre la incidencia de Jenni AI en el aprendizaje autónomo de los estudiantes de la carrera de Educación Básica de la Universidad Técnica de Babahoyo. | es_ES |
dc.format.extent | 62p. | es_ES |
dc.language.iso | es | es_ES |
dc.publisher | Babahoyo | es_ES |
dc.relation.ispartofseries | TIC-UTB-FCJSE-PCEI-000044; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Jenni AI | es_ES |
dc.subject | Didáctica | es_ES |
dc.subject | Competencias, transmedia | es_ES |
dc.subject.other | CIENCIAS EXPERIMENTALES INFORMÁTICA | es_ES |
dc.title | JENNI AI EN EL APRENDIZAJE AUTÓNOMO DE LOS ESTUDIANTES DE LA CARRERA DE EDUCACIÓN BÁSICA DE LA UNIVERSIDAD TÉCNICA DE BABAHOYO, PERÍODO ACADÉMICO ABRIL-AGOSTO 2024. | es_ES |
dc.type | bachelorThesis | es_ES |