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A Bibliometric and Cluster Analysis of Blended Learning Literature

  • Juan David Velásquez Henao
  • Universidad Nacional de Colombia

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)86-99
Number of pages14
JournalRevista Iberoamericana de Tecnologias del Aprendizaje
Volume18
Issue number1
DOIs
StatePublished - Jan 2023
Externally publishedYes

Keywords

  • bibliometric analysis
  • Blended learning
  • higher education

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