Gestión del Conocimiento e Inteligência Artificial en la educación superior

Artificial Intelligence (AI) has a transformative potential in education, generating benefits and challenges. Considering the numerous debates due to the rapid advance of AI, this study is part of a master's research with the objective: to identify the state of the art of research on Artificial Intelligence in Education (IAED), organizing and categorizing information to support researchers, teachers and managers in decision-making through knowledge management. A scoping review was carried out with studies published between 2021 and 2025, following up on previous reviews. The articles selected from the Web of Science database are indexed in the Social Sciences Citation Index, which guarantees the quality of the works analyzed. After the selection process, 230 articles were included in the study from a total of more than 700 works in the area of ​​education. The methodology adopted is qualitative and exploratory, using content analysis and descriptive statistics of some data from the articles. The results show significant progress in AIED research, including its implementation with its ethical use and impacts on higher education. There is a need for awareness and proper guidance of students, as well as regulation of the use of AI, ensuring data security and mitigation of algorithmic biases in the educational context.