A Bibliometric and Cluster Analysis of Blended Learning Literature
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Sara B. Ibarra-Varg [1] ; Juan D. Velásquez [1]
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[1] Universidad Nacional de Colombia
Universidad Nacional de Colombia
Colombia
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- Localización: Revista Iberoamericana de Tecnologías del Aprendizaje: IEEE-RITA, ISSN 1932-8540, Vol. 18, Nº. 1, 2023, págs. 86-99
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
The objective of this document is to analyze the evolution of the scientific literature on blended learning in the university context over the past 10 years by using bibliometric analysis and cluster analysis. Different descriptive statistical techniques commonly used in bibliometric analysis and science mapping were used to analyze the bibliographic dataset; in addition, we use co- word analysis and network analysis to examine author keywords and search for thematic clusters. Thus, six thematic groups were identified. Most of these groups focus on qualitative analysis of the experiences of hybrid courses. Other clusters focus on the technological adaptations of the courses and on evaluating the results of these adaptations from the perspective of the students. Few documents contain reports related to the design, development, implementation, and evaluation of a BL course in higher education with a teaching approach.
