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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Jalali, S. M. J., Mahdizadeh, E., Mahmoudi, M. R. & Moro, S. (2018). Analytical assessment process of e-learning domain research between 1980 and 2014. International Journal of Management in Education. 12 (1), 43-56
Exportar Referência (IEEE)
S. M. Jalali et al.,  "Analytical assessment process of e-learning domain research between 1980 and 2014", in Int. Journal of Management in Education, vol. 12, no. 1, pp. 43-56, 2018
Exportar BibTeX
@article{jalali2018_1714533849905,
	author = "Jalali, S. M. J. and Mahdizadeh, E. and Mahmoudi, M. R. and Moro, S.",
	title = "Analytical assessment process of e-learning domain research between 1980 and 2014",
	journal = "International Journal of Management in Education",
	year = "2018",
	volume = "12",
	number = "1",
	doi = "10.1504/IJMIE.2018.10008710",
	pages = "43-56",
	url = "http://www.inderscience.com/jhome.php?jcode=ijmie"
}
Exportar RIS
TY  - JOUR
TI  - Analytical assessment process of e-learning domain research between 1980 and 2014
T2  - International Journal of Management in Education
VL  - 12
IS  - 1
AU  - Jalali, S. M. J.
AU  - Mahdizadeh, E.
AU  - Mahmoudi, M. R.
AU  - Moro, S.
PY  - 2018
SP  - 43-56
SN  - 1750-385X
DO  - 10.1504/IJMIE.2018.10008710
UR  - http://www.inderscience.com/jhome.php?jcode=ijmie
AB  - 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.
ER  -