Student Creativity in the Age of Artificial Intelligence: Analysis of Its Main Predictors
DOI:
https://doi.org/10.31637/epsir-2026-2548Keywords:
Artificial intelligence, student creativity, learning, higher education, innovation, creative skills, educational technology, academic developmentAbstract
Introduction: Currently, artificial intelligence (AI) plays an increasingly important role in education, as it is gradually transforming the ways teaching and learning take place. Its incorporation not only improves pedagogical practices but also supports the strengthening of higher-level capacities such as creativity, which is considered a key component in university education. Objective: To identify the factors that help anticipate students’ creative development when they use AI-based tools. Methodology: A quantitative approach was adopted, with a non-experimental design and a correlational level. Data were collected through a questionnaire reviewed by specialists and administered to 157 university students. Instrument quality was verified through content validity, estimated using Aiken’s V coefficient = 0.83 (95% CI: 0.78–0.87). Internal consistency showed high levels in the pilot test, with a Cronbach’s alpha of 0.917 across 24 items and adequate values across its components. The data were then analyzed using multiple regression, and prior to model estimation, the absence of collinearity problems among the predictors was confirmed (VIF = 2.186–2.679). Conclusion: Academic use of AI supports creativity by fostering autonomous learning, innovation, and critical thinking in higher education.
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Copyright (c) 2026 Alejandro Alfredo Quispe Mayuri, José Franco Fernández Zamora, Lila Karina Huamán Munares, Jhojan Ramiro Junes del Pozo
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