A Bibliometric and Cluster Analysis of Blended Learning Literature

IF 1 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Revista Iberoamericana de Tecnologias del Aprendizaje Pub Date : 2023-02-01 DOI:10.1109/RITA.2023.3250583
Sara B. Ibarra-Vargas;Gabriel Awad;Juan D. Velásquez
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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.
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混合学习文献的文献计量与聚类分析
本文的目的是通过文献计量学分析和聚类分析来分析过去10年来大学背景下混合学习的科学文献的演变。采用文献计量分析和科学制图中常用的不同描述性统计技术对书目数据集进行分析;此外,我们使用共词分析和网络分析来检查作者关键词和搜索主题集群。因此,确定了六个专题小组。这些小组大多侧重于对混合课程的经验进行定性分析。其他集群侧重于课程的技术调整,并从学生的角度评估这些调整的结果。很少有文件包含与高等教育教学方法中BL课程的设计、开发、实施和评估相关的报告。
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CiteScore
4.30
自引率
0.00%
发文量
45
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