نبذة مختصرة : Introduction: Student Scientific Societies (SSS) are learning communities where students develop their research competencies. Objective: The aim of this article was to synthesize the sources that describe the history and activities of SSS implemented in Latin American medical education programs. Results: The sources indicate that an SSS is an extracurricular learning community. Its history indicates that most of them have emerged in medical education as a space to train future researchers, develop research competencies, improve clinical care, and expose students to new research experiences. Their activities are oriented towards promoting research from undergraduate studies. In medical education, the training of students in disease promotion and prevention is added. SSS present variable organizational structures that are led by students and may be supported by professors, graduates and researchers. Conclusion: SSS are considered extracurricular undergraduate spaces that allow the research training of students by exposing them to multiple academic, scientific, production and social projection activities. Their origins allow them to be conceived as a training strategy that complements the curricular function. Methods: A narrative review was conducted exploring the following databases: Scopus, Web of Science, PUBMED, SciELO, Redalyc and the Google Scholar search engine, where the following terms were searched: "Student Scientific Society", "research training" and "research competencies". The characteristics of definitions, history, organization, objectives and activities carried out by an SSS were summarized. ; Introducción: las Sociedades Científicas Estudiantiles (SCE) son comunidades de aprendizaje donde los estudiantes forman sus competencias investigativas. El objetivo del presente artículo fue sintetizar las fuentes que describen la historia y las actividades de las SCE implementadas en los programas de educación médica latinoamericana. Métodos: se realizó una revisión narrativa que exploró las bases de datos: ...
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