Impact of Artificial Intelligence on Digital Transformation and Educational Learning

Abstract

This article explores the impact of Artificial Intelligence (AI) on digital transformation and educational learning, evaluating its effectiveness through an experimental design with control and experimental groups. A quantitative approach was used, conducting statistical tests such as ANOVA and t-tests for independent samples, finding significant differences in academic performance between students who used AI-based tools, such as ChatGPT, Copilot, and Gamma, and those who did not. The results showed an average increase of 18.1 points in the experimental group compared to 2.2 points in the control group, with a p-value < 0.05, validating the positive impact of AI on performance. Furthermore, the qualitative analysis, based on semi-structured interviews, revealed that students perceived improvements in content understanding and greater autonomy in their learning. Overall satisfaction with the AI tools was notably higher in the experimental group, highlighting student motivation and engagement. These findings suggest that the integration of AI not only enhances academic performance but also supports personalized and adaptive learning, although challenges are identified, such as the need to balance the development of technical and interpersonal skills and overcoming technological and cultural barriers.