Visualizing research trends and research theme evolution in E-learning field : 1999–2018
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Bai, Yang | |
dc.contributor.author | Li, Hongxiu | |
dc.contributor.author | Liu, Yong | |
dc.contributor.department | Department of Information and Service Management | en |
dc.contributor.organization | Central China Normal University | |
dc.contributor.organization | Tampere University | |
dc.date.accessioned | 2020-12-31T08:51:28Z | |
dc.date.available | 2020-12-31T08:51:28Z | |
dc.date.issued | 2021-02 | |
dc.description.abstract | This paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in 10 journals in the field of e-learning from the years 1999 to 2018. Specifically, a cluster analysis, social network analysis, strategic diagram, and graph theory were applied in the analysis for two time periods: 1999–2008 and 2009–2018. The study detects the bridging, popular, and core topics in e-learning research for the two periods. The research results indicate that e-learning research has undergone a health evolution over the past two decades. There is a temporal continuity of e-learning research because some research topics have kept their continuity over the studied 20 years. Meanwhile, the research traditions in the e-learning field are also continuously evolving with the development of new technologies. The results also offer useful hints on the future direction of how the field may evolve. | en |
dc.description.version | Peer reviewed | en |
dc.format.extent | 26 | |
dc.format.mimetype | application/pdf | |
dc.identifier.citation | Bai, Y, Li, H & Liu, Y 2021, 'Visualizing research trends and research theme evolution in E-learning field : 1999–2018', Scientometrics, vol. 126, no. 2, pp. 1389-1414. https://doi.org/10.1007/s11192-020-03760-7 | en |
dc.identifier.doi | 10.1007/s11192-020-03760-7 | |
dc.identifier.issn | 0138-9130 | |
dc.identifier.issn | 1588-2861 | |
dc.identifier.other | PURE UUID: fe96c37c-0e76-4593-947d-0cf589f9bb92 | |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/fe96c37c-0e76-4593-947d-0cf589f9bb92 | |
dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85096292421&partnerID=8YFLogxK | |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/54167704/Bai2020_Article_VisualizingResearchTrendsAndRe.pdf | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/101685 | |
dc.identifier.urn | URN:NBN:fi:aalto-2020123160506 | |
dc.language.iso | en | en |
dc.publisher | Springer | |
dc.relation.ispartofseries | Scientometrics | en |
dc.relation.ispartofseries | Volume 126, issue 2, pp. 1389-1414 | en |
dc.rights | openAccess | en |
dc.subject.keyword | Co-word analysis | |
dc.subject.keyword | E-learning | |
dc.subject.keyword | Research theme | |
dc.subject.keyword | Research trends | |
dc.title | Visualizing research trends and research theme evolution in E-learning field : 1999–2018 | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
dc.type.version | publishedVersion |