Artificial Intelligence in academic research. Paraguay, 2024

Abstract

Introduction: Artificial intelligence is a branch of computer science focused on creating systems and programs capable of performing tasks that normally require human intelligence. Objective: To determine the knowledge, perception, and application of artificial intelligence in the academic research of graduate students at FENOB-UNA. Materials and Methods: The study was descriptive, correlational, cross-sectional, and quantitative, conducted at the Facultad of Enfermería and Obstetricia (FENOB) of the Universidad Nacional of Asunción (UNA) in 2024. The sample included 45 students from graduate programs. An online survey validated by experts, with a Cronbach's alpha of 0.9, was applied. The data were analyzed using IBM-SPSS 25.0, employing Spearman's correlation test (p<0.05). Data collection was voluntary, with informed consent, and confidentiality was ensured. The pilot test showed no issues with the questionnaire. The main limitation was limited Internet access. Ethical principles from the Belmont Report were followed. Results: The analysis showed a strong positive correlation (rs = 0.8) between knowledge of artificial intelligence (AI) and its use in research among graduate students. According to the distribution, 58% of students have knowledge about AI, and 52% actively use it in their research. Additionally, 89% believe that AI enhances research, and 91% think its use will become increasingly common. However, only 18% have received formal training. Conclusion: The results indicate that, although graduate students demonstrate significant knowledge about AI and its applicability in research, formal training on this technology remains insufficient.