TY - JOUR
T1 - Transforming education with Artificial Intelligence
T2 - Towards personalized learning in the 4.0 era
AU - Peñalver-Higuera, Manuel José
AU - Guerra-Castellanos, Yetzy Beatriz
AU - Rodríguez Alegre, Lino Rolando
AU - Lopez Padilla, Rosario Del Pilar
N1 - Publisher Copyright:
© (2024), (Universidad del Zulia). All rights reserved.
PY - 2024
Y1 - 2024
N2 - The study conducts an exhaustive exploration of the integration of Artificial Intelligence in education, highlighting the evolution of its role in teaching and learning processes within the framework of Education 4.0. The results reveal that Artificial Intelligence has gone from being a basic teaching tool to advanced systems that personalize learning and automate administrative tasks, which improves educational efficiency. The main finding is that Artificial Intelligence allows for real-time adaptation of educational content to the individual needs of students. The methodology used is based on PRISMA, which guarantees transparency and reproducibility by carrying out a systematic review and meta-analysis of the relevant literature, following structured phases of identification, selection, eligibility and inclusion. As a result, it is evident that this research has great relevance at a global level, with special emphasis on Peru, where the educational context faces unique challenges that can significantly benefit from emerging technologies. The conclusion emphasizes that, although Artificial Intelligence has the potential to transform education globally, its effective implementation requires a thorough review of educational infrastructures, as well as ongoing training of teachers.
AB - The study conducts an exhaustive exploration of the integration of Artificial Intelligence in education, highlighting the evolution of its role in teaching and learning processes within the framework of Education 4.0. The results reveal that Artificial Intelligence has gone from being a basic teaching tool to advanced systems that personalize learning and automate administrative tasks, which improves educational efficiency. The main finding is that Artificial Intelligence allows for real-time adaptation of educational content to the individual needs of students. The methodology used is based on PRISMA, which guarantees transparency and reproducibility by carrying out a systematic review and meta-analysis of the relevant literature, following structured phases of identification, selection, eligibility and inclusion. As a result, it is evident that this research has great relevance at a global level, with special emphasis on Peru, where the educational context faces unique challenges that can significantly benefit from emerging technologies. The conclusion emphasizes that, although Artificial Intelligence has the potential to transform education globally, its effective implementation requires a thorough review of educational infrastructures, as well as ongoing training of teachers.
KW - aprendizaje
KW - Artificial Intelligence
KW - educación 4.0
KW - education 4.0
KW - enseñanza
KW - Inteligencia Artificial
KW - learning
KW - learning personalization
KW - personalización del aprendizaje
KW - teaching
UR - http://www.scopus.com/inward/record.url?scp=85211988203&partnerID=8YFLogxK
U2 - 10.31876/rcs.v30i4.43040
DO - 10.31876/rcs.v30i4.43040
M3 - Article
AN - SCOPUS:85211988203
SN - 1315-9518
VL - 30
SP - 416
EP - 430
JO - Revista de Ciencias Sociales
JF - Revista de Ciencias Sociales
IS - 4
ER -