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

Jorge Olivares; Byron Droguett; Pablo Martin

doi:10.59400/adecp2259

Jorge Olivares Department of Mathematics, University of Antofagasta, Antofagasta 1240000, Chile
Byron Droguett Department of Physics, University of Antofagasta, Antofagasta 1240000, Chile
Pablo Martin Department of Physics, University of Antofagasta, Antofagasta 1240000, Chile

Article ID: 2259

DOI: https://doi.org/10.59400/adecp2259

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

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.

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