Guía potencializa la investigación: Estrategias de búsqueda y recuperación de información aplicando IA - posgrado

Abstract

In the current context of academic research, access to information and data quality are key elements that determine the success of any research project. Digital tools and scientific databases have transformed the way researchers access, evaluate, and process information. In this context, Artificial Intelligence (AI) tools emerge as fundamental resources for optimizing the search and retrieval of high-quality scientific information, allowing researchers to delve deeper into their research topics more efficiently and with a more precise focus. The use of AI in postgraduate research, especially in specializations, master's degrees, and doctorates, has not only accelerated the information collection process but also improved the analytical capacity and contextualization of the data obtained, enabling innovative contributions to various areas of knowledge.