Artificial Intelligence and Academic Performance in Higher Education Students: Evidence from the Puno Region, Peru
Keywords:
digital literacy, machine learning, digital devices, educational ethics, open-source technologyAbstract
This study analyzed the relationship between artificial intelligence (AI) and academic performance among higher education students in Puno, Peru. A basic quantitative study was conducted using a descriptive-correlational approach with a non-experimental, cross-sectional design. The study included a census sample of 82 students from the National University of the Altiplano. Data were collected using a structured questionnaire with ordinal response options, validated through expert judgment. The artificial intelligence and academic performance scales demonstrated acceptable internal consistency, with Cronbach's alpha values of 0.810 and 0.833, respectively. The results showed positive correlations between artificial intelligence and the dimensions of machine learning (r = 0.341), open-source technology (r = 0.509), and digital devices (r = 0.514). These findings suggest that students primarily associate AI with digital tools used in everyday academic activities. The study concludes that integrating AI into higher education requires teacher guidance, methodological training, and ethical considerations to foster critical and responsible learning.
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