Improving Educational Planning, Strategy, and Implementation through Artificial Intelligence: The DaVinci University Experience

Abstract

Artificial Intelligence (AI) currently plays a pivotal role in academic research among faculty at Universidad DaVinci. This study examines how AI is transforming research methodologies, with a particular focus on its impact on the efficiency and quality of resources it facilitates. The primary objective is to identify the factors influencing the frequency of AI usage, using Universidad DaVinci in Mexico as a case study.

The research was conducted in two phases, employing a five-point Likert scale survey to collect data. Findings reveal that variables outlined in the Technology Acceptance Model (TAM) significantly influence AI adoption among faculty members. Key factors include perceived usefulness, perceived ease of use, and attitudes toward technology. However, adoption is often hindered by challenges such as limited knowledge, insufficient training, resistance to change, and implementation barriers.

These insights underscore the importance of targeted strategies to address these obstacles, fostering broader acceptance and effective integration of AI in academic research.