Generative Language Model and Critical Thinking in Students of a Peruvian State Higher Education Institution

Authors

  • Yurick Franz Arroyo Fernández Universidad Nacional Del Centro Del Perú - (Pe)
  • Elier Abiud Nieto Rivas Universidad César Vallejo, Perú
  • Flor Alicia Calvanapon-Alva Universidad César Vallejo, Perú
  • Luis Edwin Torres Paz Universidad César Vallejo, Perú
  • Maria Elena Medina Guevara Universidad César Vallejo, Perú
  • July Fiorella Aranda Sanabria Universidad Nacional Del Centro Del Perú - (Pe)

DOI:

https://doi.org/10.18687/LACCEI2025.1.1.1759

Keywords:

Generative Language Model, Critical Thinking, Quantitative Research, Correlational Design, Educational Tools.

Abstract

This academic work aligns with Sustainable Development Goal 4, "Quality Education," and aims to determine the correlation between the use of the Generative Language Model and critical thinking in students at a Peruvian state higher education institution. The study adopts a quantitative approach with a correlational design, using a sample of 155 students selected through probabilistic sampling. The results show that the majority (56%) of participants display a medium level both in the use of the Generative Language Model and in critical thinking skills. A positive and significant correlation (Spearman's Rho = 0.999) was observed between the use of the Generative Language Model and critical thinking, enhancing skills in analysis, evaluation, inferential reasoning, problem-solving, and self-regulation. The main conclusion highlights the potential of the Generative Language Model as an effective educational tool to strengthen critical thinking, provided its use is accompanied by appropriate pedagogical guidance

Downloads

Published

2025-04-09

How to Cite

Arroyo Fernández, Y. F., Nieto Rivas, E. A., Calvanapon-Alva, F. A., Torres Paz, L. E., Medina Guevara, M. E., & Aranda Sanabria, J. F. (2025). Generative Language Model and Critical Thinking in Students of a Peruvian State Higher Education Institution. LACCEI, 1(12). https://doi.org/10.18687/LACCEI2025.1.1.1759

Most read articles by the same author(s)