Analytical assessment process of e-learning domain research between 1980 and 2014
Year: 2017
Type: article
Abstract: Applying some methods to reduce the time and expenditures of training is inevitable in existing circumstances. Many educational organisations have realised the importance of Electronic Learning (E-learning) and tried to use this approach in leveraging their academic classes. As research in e-learning domain has become one of the most important and interesting subjects, observation in emerging and fading trends of e-learning is a need for the scholars and industry professionals who are interested to study and work in the field. This paper has triggered the investigation and depicting of scientific trends in e-learning by using two scientometric methods named burst detection and clustering analysis. By applying two mentioned methods, the hot topics were identified in the field of e-learning.
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4249718223