Volume 9, Issue 2 (9-2022)
Human Information Interaction 2022, 9(2): 67-82 |
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Bibliometric Networks on Analyze Flipped Learning Research. Human Information Interaction 2022; 9 (2)
URL: http://hii.khu.ac.ir/article-1-2953-en.html
URL: http://hii.khu.ac.ir/article-1-2953-en.html
Abstract: (2611 Views)
Aim: The purpose is to provide a comprehensive overview of the current state of research in the field of flipped learning and classroom. It is a science metrics attempt to extract and analyze bibliographic networks based on the international scientific indexing (ISI)
Methodology: Systematic search technique was applied: A set of scientific productions indexed in the field of flipped learning and classroom between 1990 and 2018 extracted from the Web of Science Database (3259 records). VOS viewer software was used to analyze bibliographic networks using data mining technique. Text mining techniques were implemented on keywords, titles, and abstracts in order to network scientific graphs.
Findings: Analyzes of published scientific product collections by year, Universities and institutions of higher education and countries are revealed in tables. Bibliographic networking techniques have been applied to countries and Universities to identify the extent of their contribution to science production. The findings of this study were also used to evaluate the quality of scientific output through the number of citations.
Conclusion: Flipped learning is a new educational topic which its significance to other subjects has not been explored nor its various dimensions have been sufficiently and effectively researched.
Methodology: Systematic search technique was applied: A set of scientific productions indexed in the field of flipped learning and classroom between 1990 and 2018 extracted from the Web of Science Database (3259 records). VOS viewer software was used to analyze bibliographic networks using data mining technique. Text mining techniques were implemented on keywords, titles, and abstracts in order to network scientific graphs.
Findings: Analyzes of published scientific product collections by year, Universities and institutions of higher education and countries are revealed in tables. Bibliographic networking techniques have been applied to countries and Universities to identify the extent of their contribution to science production. The findings of this study were also used to evaluate the quality of scientific output through the number of citations.
Conclusion: Flipped learning is a new educational topic which its significance to other subjects has not been explored nor its various dimensions have been sufficiently and effectively researched.
Keywords: Flipped Learning, Text-mining, Bibliometric Networks, Scient Metrics, Scientific Graphs Network.
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