La inteligencia artificial en la educación superior: un examen ético-jurídico de su perspectiva transformadora

The study arises from the progressive integration of Artificial Intelligence (AI) in universityeducation and its ethical-legal influence. Addresses the need for empirical demonstration of theimpact of AI tools on academic outcomes. Despite the multitude of studies examining the effectsof AI on teaching and learning, few have focused on its actual use by university students andwhether this use affects their academic performance. A quantitative correlational method andsimple random sampling were used to survey students from the daytime and evening law program.The data were analyzed using ANOVA (Analysis of Variance), revealing generational differencesin technological competence. The younger generation exhibited 91% positive results from usingAI, while the older generation showed a 100% negative impact. These findings indicate that therelationship between AI use and academic outcomes depends on factors beyond simple use and isinfluenced by students' interests, which may not always be aligned with academics.

Publication Details

Journal
Dialnet (Universidad de la Rioja)
Published
2025-01-01
Primary Topic
E-Learning and Knowledge Management
Type
article
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article

La inteligencia artificial en la educación superior: un examen ético-jurídico de su perspectiva transformadora

Dialnet (Universidad de la Rioja)
E-Learning and Knowledge Management
article

La inteligencia artificial en la educación superior: un examen ético-jurídico de su perspectiva transformadora

article en

Abstract

The study arises from the progressive integration of Artificial Intelligence (AI) in universityeducation and its ethical-legal influence. Addresses the need for empirical demonstration of theimpact of AI tools on academic outcomes. Despite the multitude of studies examining the effectsof AI on teaching and learning, few have focused on its actual use by university students andwhether this use affects their academic performance. A quantitative correlational method andsimple random sampling were used to survey students from the daytime and evening law program.The data were analyzed using ANOVA (Analysis of Variance), revealing generational differencesin technological competence. The younger generation exhibited 91% positive results from usingAI, while the older generation showed a 100% negative impact. These findings indicate that therelationship between AI use and academic outcomes depends on factors beyond simple use and isinfluenced by students' interests, which may not always be aligned with academics.

Dialnet (Universidad de la Rioja)
Peace, Justice and strong institutions
Openalex Percentile: Top 44%
E-Learning and Knowledge Management
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