Bibliometric Study On Autonomous Learning In Higher Education

Abstract

This study describes the development of scientific production in the research theme “Autonomous learning in higher education”, all research works from the years 1989 to 2023 were taken into account and the documents indexed in the Scopus metasearch engine were used as a source of information, data was interpreted through an analysis of the bibliometrics using indicators of this science that allowed to process 328 documents, from which it was possible to determine the annual scientific production, the productions of the best authors over time, the growth in the annual production of the most cited journals and articles, as well as the correlation between authors, sources and keywords or terms. The variables or key terms used in the exploration were: "Autonomous Learning" with its synonym "self-learning" and "Higher education", generating results that were then filtered by the language and by areas of knowledge related to the field of study, finally leaving 328 research papers which were downloaded in csv format and their processing was executed with the Biblioshiny application, from the Bibliometrix package that is part of the R statistical software.