The present study set out to evaluate the impact of an educational intervention on artificial intelligence (AI) on the knowledge, skills and ethical considerations of architecture students. A descriptive methodology was employed, with a total sample of 319 students and a pre-experimental design that included an experimental group (n = 26) and a control group (n = 19). The experimental group participated in AI training, with a pre-test and post-test design used to measure the effect of the intervention, while the control group was only assessed with the pre-test. Statistical tests, including the Wilcoxon test, were used to analyse the differences between the pre- and post-intervention scores of the experimental group. The findings revealed a substantial enhancement in the experimental group’s AI knowledge following the intervention, accompanied by advancements in both technical proficiency and ethical considerations (p = 0.000). In contrast, the control group exhibited no significant alterations. The experimental group demonstrated a progression from the “Beginner” level to the “Expected Performance” and “Excellent Performance” levels, with a particularly noteworthy enhancement in the ethical dimension. The findings of this study underscore the efficacy of incorporating AI-related educational interventions into higher education curricula to enhance students’ technical aptitude and ethical reasoning capabilities.

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Impact of Artificial Intelligence on Higher Education in Peru: A Pre-experimental Study

  • Sam M. Espinoza Vidaurre,
  • Ana N. Martinez Valdivia,
  • Renza L. Gambetta Quelopana,
  • Marco Antonio Nolasco-Mamani,
  • Ivette E. Atencio Iturry,
  • Norma C. Velásquez Rodríguez

摘要

The present study set out to evaluate the impact of an educational intervention on artificial intelligence (AI) on the knowledge, skills and ethical considerations of architecture students. A descriptive methodology was employed, with a total sample of 319 students and a pre-experimental design that included an experimental group (n = 26) and a control group (n = 19). The experimental group participated in AI training, with a pre-test and post-test design used to measure the effect of the intervention, while the control group was only assessed with the pre-test. Statistical tests, including the Wilcoxon test, were used to analyse the differences between the pre- and post-intervention scores of the experimental group. The findings revealed a substantial enhancement in the experimental group’s AI knowledge following the intervention, accompanied by advancements in both technical proficiency and ethical considerations (p = 0.000). In contrast, the control group exhibited no significant alterations. The experimental group demonstrated a progression from the “Beginner” level to the “Expected Performance” and “Excellent Performance” levels, with a particularly noteworthy enhancement in the ethical dimension. The findings of this study underscore the efficacy of incorporating AI-related educational interventions into higher education curricula to enhance students’ technical aptitude and ethical reasoning capabilities.