Artificial Intelligence in higher education: use and appropriation of tools by university students.

INTRODUCTION

This research presents the results of the study to analyze the perception of Artificial Intelligence (AI) and its relationship with the learning and Academic Performance of students at a university in northwestern Mexico during the period February to May 2025.

METHOD: An analytical, cross-sectional study was conducted. The students in the study were selected through non-probabilistic sampling, comprising 289 students in the third, fourth, and sixth semesters. Those who did not complete the questionnaire correctly were excluded from this sampling. The instrument was developed using a Likert-type scale with responses: strongly disagree, disagree, indifferent, agree, and strongly agree.

RESULTS

The results of the present research confirm that integrating AI-based tools into educational environments is changing how students relate to knowledge, promoting more personalized and adaptive learning experiences. by means of confirmatory factor analysis (CFA), an analysis procedure in structural equation modeling (SEM).