Artigo em revista científica 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.);
Título Revista
International Journal of Management in Education
Ano (publicação definitiva)
2018
Língua
Inglês
País
Suíça
Mais Informação
Web of Science®

Esta publicação não está indexada na Web of Science®

Scopus

N.º de citações: 32

(Última verificação: 2024-04-16 20:18)

Ver o registo na Scopus


: 5.2
Google Scholar

N.º de citações: 41

(Última verificação: 2024-04-14 12:53)

Ver o registo no Google Scholar

Abstract/Resumo
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.
Agradecimentos/Acknowledgements
--
Palavras-chave
E-learning,Burst detection algorithm,Scientometrics,Text mining
  • Economia e Gestão - Ciências Sociais
  • Ciências da Educação - Ciências Sociais
Registos de financiamentos
Referência de financiamento Entidade Financiadora
UID/MULTI/0446/2013 Fundação para a Ciência e a Tecnologia