Learning of a certain homogeneous reducible differential equation by means of ChatGpt in engineering students during the second semester of 2024 in Antofagasta-Chile

Olivares J.; Droguett B.; Martin P.

Keywords: artificial intelligence, case study, qualitative, differential equations, learning strategies

Abstract

The main objective of this research work was to investigate the learning of a certain homogeneous reducible differential equation by means of ChatGpt in engineering students, during the second semester of 2024 in Antofagasta-Chile. This research followed a qualitative case study approach. Four students of the differential equations course were chosen. Personalized interviews of three questions, related to the general objective and two specific ones, were established after solving a certain exercise, through ChatGpt collaboration. It was found that the opinions expressed about the use of this artificial intelligence are very positive and valuable, evidencing what was stated by several authors. Finally, it can be concluded that the perception of ChatGpt enriches the mathematical confidence in the development of computers, which generates security in learning.

Más información

Título según WOS: Learning of a certain homogeneous reducible differential equation by means of ChatGpt in engineering students during the second semester of 2024 in Antofagasta-Chile
Volumen: 32
Número: 1
Fecha de publicación: 2025
Idioma: English
DOI:

10.59400/adecp2259

Notas: ISI