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  • 标题:Network analysis and scientific mapping of the e-learning literature from 1995 to 2018
  • 本地全文:下载
  • 作者:Mohammad Bagher Negahban ; Nahid Zarifsanaiey
  • 期刊名称:Knowledge Management & E-Learning : an International Journal
  • 电子版ISSN:2073-7904
  • 出版年度:2020
  • 卷号:12
  • 期号:3
  • 页码:268-279
  • DOI:10.34105/j.kmel.2020.12.014
  • 出版社:Hong Kong Bao Long Accounting & Secretarial Limited
  • 摘要:This study aims to explore the research trends in the field of e-learning by analyzing the relevant publications using network analysis and scientific mapping. The data were extracted from the Web of Science database from 1995 to 2018, revealing a growing number of articles published in e-learning. The keywords “e-learning” and “Internet” ranked first and second as the most frequently used terminology. “Internet”, “Blended Learning” and “E-Learning” are recognized as three main categories in the field. The findings also reveal that the research related to Internet, distance learning, learning management system, MOOC and mobile learning has had the greatest impact in the field of e-learning. Further, some topics (e-learning, education, MOOC, learning, online learning, blended learning, learning management system) serve as bridge to connect different topics. The other highly used terms, such as “information technology”, “healthcare”, “management” and “blended learning” represent the emerging topics in this field. In particular, e-learning in health or medical care has been an actively promoted topic in this field.
  • 关键词:e-Learning; Citation analysis; Network analysis; Scientific map
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