Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/14791
Author(s): | Jalali, S. M. J. Mahdizadeh, E. Mahmoudi, M. R. Moro, S. |
Date: | 2018 |
Title: | Analytical assessment process of e-learning domain research between 1980 and 2014 |
Volume: | 12 |
Number: | 1 |
Pages: | 43 - 56 |
ISSN: | 1750-385X |
DOI (Digital Object Identifier): | 10.1504/IJMIE.2018.10008710 |
Keywords: | E-learning Burst detection algorithm Scientometrics Text mining |
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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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authorFinalVersion.pdf | Pós-print | 781,02 kB | Adobe PDF | View/Open |
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