Analysis of Artificial Intelligence in the transformation of educational teaching and learning
Abstract
The advancement of technology and the increasing availability of data have allowed the development of artificial intelligence tools with significant applications in various fields. In education, artificial intelligence can transform teaching and learning processes by offering opportunities to personalize education, improve administrative efficiency, and support teachers in creating more effective learning experiences. The objective of this work is to explore and analyze the use of artificial intelligence as a tool to revitalize teaching processes in the Venezuelan educational system. A descriptive and cross-sectional study was carried out, with a quantitative, non-experimental approach. The technique used was observation and survey, carried out with 300 active teachers in educational institutions. The result was that there is a difference between the basic education subsystem and the university education subsystem, in relation to the consideration of the use of tools, which in the former are little present in the teaching processes. The conclusion was reached that knowledge and application of new technologies must be incorporated into educational centers and the use of adaptive platforms, the activation of reflective processes and the design of innovative proposals must be taken into consideration. In addition to the optimization of teacher time as dimensions to incorporate new technologies into educational processes. Therefore, training is recommended that can help teachers acquire these skills, to include it both in theory and in practice.
Keywords:
Technology, Educational field, Use of tools, Training.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Editorial Universo Sur

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
"Universo Sur", the publishing house of the University of Cienfuegos, publishes the Conrado Journal under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
You may share the material for non-commercial purposes, provided that you:
-
Give appropriate credit (authors, journal, article link, and link to this license).
-
Do not create derivative works.
-
Indicate if changes were made.
Authors retain copyright.
Full license text: https://creativecommons.org/licenses/by-nc-nd/4.0/





