University dropout through the tree of science: a bibliometric and narrative study
DOI:
https://doi.org/10.18634/sophiaj.22v.1i.1476Keywords:
dropout, university dropout, bibliometric analysis, tree of scienceAbstract
Introduction: This study developed an in-depth analysis of student dropout at a global level. Objective:To identify the predominant factors and trends in the scientific literature through thematic mapping ofthe phenomenon. Materials and methods: This consisted of a bibliometric and narrative analysis of507 documents from Scopus and Web of Science, using the Tree of Science algorithm to classify theinformation into "roots," "trunk," and "leaves." Results: These allowed for the identification of four key perspectives: dropout factors, retention models, institutional impact, and emerging technologicaltrends. Conclusions: The study concludes that it provides a clear roadmap for universities to designretention policies based on evolving scientific evidence.References
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