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

Seyed Mohammad Jafar Jalali,Sérgio Moro,Elaheh Mahdizadeh,Mohammad Reza Mahmoudi

doi:10.1504/ijmie.2018.088371

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.

Highlights

Modern methods of teaching would never replace with traditional methods, presenting courses in a mere traditional way would not be completed unless along with some new technologies; as it facilitates knowledge transfer [1]
The data used in this study, has been gathered from Web of Science (WoS)
Keywords and titles of scientific papers are the important components of scientific papers that can express the theme of scientific trends

Summary

Introduction

Modern methods of teaching would never replace with traditional methods, presenting courses in a mere traditional way would not be completed unless along with some new technologies; as it facilitates knowledge transfer [1]. E-learning has been defined as a part of educational process at different levels of education from primary to higher education as well and can even be used in corporation environments in order to integrate entire staffs and reduce the time and expenses of training [4] The benefits of this educational system increase the number of training programs in different fields (medical, management, engineering, medicine, information technology, electronics and telecommunications) [5]. All high expenditure of Elearning software, high initial capital and a lot of time to enter the market, lead to emergence of some approaches that attempt to reduce the disadvantages of e-earning through the combination of E-learning into other technologies Among all these technologies cloud computing [6] and using mobile phone [7] have been used more than others to train. In the following text it has been tried to review and analyze the published articles in the field of electronic learning in the most prestigious academic database in the world, Web of Science (WoS), by two methods called burst detection and clustering analysis to identify the hot topics in Elearning domain

Literature Review

Methodology

Data Gathering

Burst Detection

Clustering

Conclusion