Contenido de artículos científicos revisados por pares en español sobre neuroeducación en CICCO Paraguay. Análisis de contenido asistido por inteligencia artificial

The present study corresponds to the exploratory-descriptive analysis of the contents of peer-reviewed scientific article abstracts in Spanish on neuroeducation, available on the Cicco Paraguay platform. For this, a non-experimental exploratory-descriptive study with a mixed-methods approach and longitudinal design was employed. Methodological tools used include content analysis assisted by artificial intelligence and bibliometric analysis through Business Intelligence software. The sample consists of 73 abstracts of peer-reviewed scientific articles in Spanish on neuroeducation, available through the Cicco Paraguay service. The concepts of neuroeducation, neuroscience, and education were used as search operators, assisted by the Boolean operators AND and OR in the fields: title, keywords, and abstract. The time frame considered was from 2020 to 2024. Among the most important quantitative results, it was found that 23.29% of the abstracts were written in a language that did not match the selected filter; that the most frequent types of articles were original research (42.47%) and literature reviews (24.66%); and that the most studied research topics were cognitive neuropsychology (24.66%) and neuroscience (21.92%). Qualitative results highlight that to improve the readability of the abstracts, it would be beneficial to better describe the methodology, including details of the sample. Additionally, it was noted that artificial intelligence is a powerful tool to assist researchers, although it requires competent human interaction to maximize its potential. In conclusion, the significant contribution of the Cicco Paraguay service, which provides high-quality publications to researchers, should be emphasized. These positive aspects could be further enhanced with some adjustments, as outlined in the results of this study.