Evaluation of the challenges and opportunities of Artificial Intelligence applied in current Latin American Education with the help of Neutrosophic SWOT and Neutrosophic Cognitive Maps

Authors

  • Katia N. Flores Ledesma César Vallejo University, Lima, Peru
  • Rafael W. Cánez Palomino César Vallejo University, Lima, Peru
  • César R. Vilcapoma Pérez National University of Central Peru, Huancayo, Peru
  • Ana M. Vallina Hernández Pontifical Catholic University of Valparaíso, Viña del Mar, Chile
  • Elier A. Nieto Rivas Antenor Orrego Private University, Trujillo, Peru
  • Abrahán C. Neri Ayala José Faustino Sánchez Carrión National University, Huacho, Huaura, Peru
  • Santos L. Guanilo Gómez Jorge Basadre Grohgman National University. Tacna, Peru

Keywords:

Artificial Intelligence, Education, Neutrosophic SWOT, Neutrosophic Cognitive Map, Static Analysis, Neutrosophic Number, Single-Valued Triangular Neutrosophic Number, Neutrosophic Graph

Abstract

Artificial intelligence (AI) has revolutionized many areas, including education, by improving teaching methods and addressing challenges such as equity of access, data privacy, quality of algorithms, and adaptation of traditional education systems. This paper aims to analyze and understand the challenges and opportunities of artificial intelligence in Latin American education today. For the proposed evaluation we use the criteria of five experts on the subject. Specifically, we use Neutrosophic SWOT and static analysis of Neutrosophic Cognitive Maps techniques. The use of tools in the field of Neutrosophy allows us to incorporate indeterminacy into the calculations carried out, which allows greater accuracy in the results. Indeterminacy is an intrinsic component of decision-making.

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Published

2024-07-01

Issue

Vol. 69 No. 69 (2024): Neutrosophic Sets and Systems {Special Issue: Neutrosophy and Plithogeny: Fundamentals and Applications}

Section

Article

License

Copyright (c) 2024 Neutrosophic Sets and Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Katia N. Flores Ledesma, Rafael W. Cánez Palomino, César R. Vilcapoma Pérez, Ana M. Vallina Hernández, Elier A. Nieto Rivas, Abrahán C. Neri Ayala, & Santos L. Guanilo Gómez. (2024). Evaluation of the challenges and opportunities of Artificial Intelligence applied in current Latin American Education with the help of Neutrosophic SWOT and Neutrosophic Cognitive Maps. Neutrosophic Sets and Systems, 69(69), 49-57. https://fs.unm.edu/nss8/index.php/111/article/view/4684