Scientific journal paper Q3
Analytical assessment process of e-learning domain research between 1980 and 2014
Seyed Mohammad Jafar Jalali (Jalali, S. M. J.); Elaheh Mahdizadeh (Mahdizadeh, E.); Mohammad Reza Mahmoudi (Mahmoudi, M. R.); Sérgio Moro (Moro, S.);
Journal Title
International Journal of Management in Education
Year (definitive publication)
2018
Language
English
Country
Switzerland
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Abstract
Applying some methods to reduce the time and expenditures of training is inevitable in existing circumstances. Many educational organizations have realized 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.
Acknowledgements
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Keywords
E-learning,Burst detection algorithm,Scientometrics,Text mining
  • Economics and Business - Social Sciences
  • Educational Sciences - Social Sciences
Funding Records
Funding Reference Funding Entity
UID/MULTI/0446/2013 Fundação para a Ciência e a Tecnologia