Blended learning dalam pembelajaran matematika: A systematic literature network analysis
DOI:
https://doi.org/10.22460/jpmi.v7i3.21992Keywords:
Blended learning, Bibliometric, Systematic literature network analysisAbstract
As technology continued to advance, the educational landscape evolved, leading to the development of learning management systems, online platforms, and multimedia resources. Blended learning has since become a cornerstone in educational strategies. The purpose of this study is to describe the research trend data on Blended learning . The Systematic Literature Network Analysis (SLNA) method was employed for the investigation. This study's data is made up of non-time-limited research articles on Blended learning. The articles were retrieved from the Scopus database. The data was evaluated using a bibliometric and network analysis technique with programs R and VOSviewer. The findings indicate that the number of studies and research citations fluctuate. Keyword cluster analysis indicates that the predominant focus of research lies in Blended learning. Simultaneously, the terms 'personnel training' and 'academic performance' exhibit interconnections with inquiries into Blended learning . Subsequent scholarly investigations ought to broaden and elaborate upon facets of Blended learning conceptualization, assessment methodologies, pedagogical instruction, and organizational backing, to furnish a more exhaustive and all-encompassing research outlook.
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