El rol de la inteligencia artificial en la formación de ingenieros agrónomos: oportunidades y desafíos

Carmen Elizabeth Trombetta Silvero; Alfredo Patiño Sotelo; José Luis Basili Carreras; María Raquel Pintos Coronel

doi:10.58763/rc2026595

Authors

Carmen Elizabeth Trombetta Silvero Universidad Católica Nuestra Señora de la Asunción. María Auxiliadora, Paraguay https://orcid.org/0009-0006-1464-6410
Alfredo Patiño Sotelo Universidad Católica Nuestra Señora de la Asunción. María Auxiliadora, Paraguay https://orcid.org/0009-0009-0360-4989
José Luis Basili Carreras Universidad Católica Nuestra Señora de la Asunción. María Auxiliadora, Paraguay https://orcid.org/0009-0006-3380-6694
María Raquel Pintos Coronel Universidad Católica Nuestra Señora de la Asunción. María Auxiliadora, Paraguay https://orcid.org/0009-0002-2058-5491

DOI:

https://doi.org/10.58763/rc2026595

Keywords:

agricultural education, agricultural research, artificial intelligence, digital transformation, higher education

Abstract

Introduction: The objective of the study was to analyze how artificial intelligence is transforming the training of agricultural engineers, with special attention to the opportunities and challenges arising from its integration in institutions in northeastern Itapúa during 2025. Methodology: To this end, a descriptive, cross-sectional research study with a quali-quantitative approach was developed, involving 68 students and 14 faculty members who responded to previously validated questionnaires distributed digitally. Knowledge, forms of use, perceptions, and training needs related to AI tools in the academic setting were examined. Results: The results revealed high familiarity with these technologies and broad willingness for their pedagogical incorporation, with a majority of faculty members using them to generate teaching materials and facilitate instructional processes, while students recognized their usefulness for improving learning. However, critical aspects were identified, such as the risk of inappropriate use, insufficient technical training, and the absence of clear institutional policies. Conclusions: It was concluded that AI holds great potential to personalize learning, strengthen analytical competencies, and support decision-making in agronomic contexts. Its effective implementation required faculty training, ethical guidance, and a curricular approach that integrated digital agriculture.

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