ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES IN THE TECHNICAL EDUCATION IN AGRICULTURE AT FI GOIANO CAMPUS CRISTALINA: A CRITICAL ANALYSIS OF THE CHALLENGES, BENEFITS AND STRATEGIES FOR PEDAGOGICAL IMPROVEMENT

Abstract

The digitalization of agriculture has driven significant changes in the educational sector, requiring the adaptation of curricula and methodologies to train qualified professionals. This study analyzes the impact of digital technologies and artificial intelligence (AI) on technical education in Agriculture at the Federal Institute of Goiano – Cristalina Campus, highlighting challenges, benefits and strategies to optimize learning. The objective of the research is to investigate the use of these technologies in technical education, understanding patterns of use, difficulties faced by students and suggestions for pedagogical improvement. The methodology was based on the application of a structured questionnaire to students of the Technical Course in Agriculture, whose answers were statistically analyzed to identify trends and significant associations. The main findings indicate that, throughout the course, there is a transition in the use of digital tools: first-year students use YouTube more for introductory learning, while in the final years, there is greater use of Google and teaching platforms. ChatGPT showed growth in the second year, suggesting that artificial intelligence has been gradually incorporated into the educational process. Among the difficulties reported, inadequate infrastructure, limited connectivity and lack of teacher training stand out. In contrast, the perceived benefits include the personalization of learning and the optimization of academic management. The study reinforces the need for investments in technological infrastructure, continuous teacher training and educational policies that favor equity in access to digital innovations. The research concludes that the efficient integration of AI in technical education can promote a more dynamic training, aligned with the demands of the labor market, preparing students to work in an increasingly automated and competitive sector.

DOI: https://doi.org/10.56238/sevened2024.031-091