A Survey of the Collaboration Rate of Authors in the E-Learning Subject Area over a 10-Year Period (2005-2014) Using Web of Science

Abstract

Partnership is one of the mechanisms of scientific development, and scientific collaboration or coauthorship is considered a key element in the progress of science. This study is a survey with a scientometric approach focusing on the field of e-learning products over 10 years. In an Advanced Search of the Web of Science, the following search formula was used: TS=("m-learning" OR "mlearning" OR "mobile learning" OR "online learning" OR "virtual learning" OR "distance learning" OR "electronic learning"). The study was limited to [2005][2006][2007][2008][2009][2010][2011][2012][2013][2014], and the document type was limited to paper. A total of 4292 documents were found, to which 12362 authors contributed. The articles were evaluated individually and their information was entered into Microsoft Office Excel 2007 for analysis using the collaborative coefficient formula. In the Computers and Education journal, articles with two authors are the most frequent. The United States, with the highest production of articles in the field of e-learning, tends to produce articles with two authors. In 2014, the most productive year, articles with three authors were more frequent. The highest collaborative coefficient is in 2005 and 2014. Our findings show that despite the need for research activities as a team, the authors in the field of e-learning tend to publish their papers alone or in a team of two.

The Co-Authorship and Subject Areas Network in MOOCS’ Scientific Production in Web of Science

“…The analysis of the productions of this area in WOS indicates a rapid increase since 2013 reaching to 749 documents in 2016. Indeed, scientific production in the field of e-learning, as the closest area to MOOCs, has been increasing in recent years too (Mohammadi et al, 2017;Tibana-Herrera et al, 2018). In this study, the MOOCs co-authorship networks were drawn according to different indicators from the beginning to the end of 2016.…”

“…The network structures shows a variety of fascinating features of scientific societies (Wang, Wu, Pan, Ma, & Rousseau, 2005) in which the indicators of social network analysis are used. There are various studies that use this method in analyzing co-authorship in different subject areas such as e-Learning in scopus database (Gupta & Chohda, 2018), e-learning scientific domain (Tibana-Herrera, Fernandez-Bajon, & de Moya-Anegon, 2018), collaboration rate of authors in e-Learning (Mohammadi, Asadzandi, & Malgard, 2017), Zoology (Vimala & Reddy, 2017), journals' level (Santos & Santos, 2016), Korea and China co-authorship (Park, Yoon, & Leydesdorff, 2016), Consumer Behavior Scholars (Neil Bendle, 2016, human immunodeficiency viruses (HIV) and Human papillomavirus (HPV) areas (Vanni et al, 2014), Evidence based Medicine (Shen et al, 2011), History andPhilosophy (Osca-Lluch, Velasco, Lopez, &Haba, 2009) and Bioinformatics (Malin & Carley, 2007).…”