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Title: Analytical assessment process of e-learning domain research between 1980 and 2014

Authors: Seyed Mohammad Jafar Jalali; Elaheh Mahdizadeh; Mohammad Reza Mahmoudi; Sérgio Moro

Addresses: Allameh Tabataba'i University, Tehran, Iran ' University of Tehran, Tehran, Iran ' Fasa University, Fasa, Iran ' Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR-IUL, Lisboa, Portugal; ALGORITMI Research Centre, University of Minho, Guimarães, Portugal

Abstract: Applying some methods to reduce the time and expenditures of training is inevitable in existing circumstances. Many educational organisations have realised 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.

Keywords: e-learning; burst detection algorithm; scientometrics; text mining.

DOI: 10.1504/IJMIE.2018.088371

International Journal of Management in Education, 2018 Vol.12 No.1, pp.43 - 56

Available online: 28 Oct 2017 *

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