Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/14791
Autoria: | Jalali, S. M. J. Mahdizadeh, E. Mahmoudi, M. R. Moro, S. |
Data: | 2018 |
Título próprio: | Analytical assessment process of e-learning domain research between 1980 and 2014 |
Volume: | 12 |
Número: | 1 |
Paginação: | 43 - 56 |
ISSN: | 1750-385X |
DOI (Digital Object Identifier): | 10.1504/IJMIE.2018.10008710 |
Palavras-chave: | E-learning Burst detection algorithm Scientometrics Text mining |
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. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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authorFinalVersion.pdf | Pós-print | 781,02 kB | Adobe PDF | Ver/Abrir |
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