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Visual Analysis of Research Progress of Blended Collaborative Learning Based on CiteSpace

  • Lianlian Fu,
  • Wei Zhou,
  • Jiake Lv

摘要

This study selects relevant literature on hybrid collaborative learning from the Web of Science core database, covering the period from 2017 to 2021, as the primary data source. Utilizing the CiteSpace software, a visual analysis of research in the field of hybrid collaborative learning is conducted. This analysis aims to elucidate the current research focus and frontier in blended collaborative learning while offering valuable insights for future research endeavors in China. Based on the geographical distribution map generated by CiteSpace software, it is evident that the United States and Spain are the countries with a substantial number of published documents, closely followed by China. These findings underscore China's remarkable accomplishments in the domain of hybrid collaborative learning. Furthermore, through an examination of the co-occurrence of keywords, as well as the timeline and mutation of keyword clusters, this paper synthesizes the principal characteristics of current research in hybrid collaborative learning. It explores various aspects, such as existing teaching modes, teaching environments, and teaching strategies, to provide a comprehensive understanding of the field. Moreover, this study anticipates future research directions in China, emphasizing the significance of experimental environments and the utilization of social media in advancing the field of hybrid collaborative learning.