Abstract
The study aims to identify social, intellectual and conceptual structures along with key areas, contributors, current dynamics and suggest future research directions in the field of engagement with e-learning systems. An objective analysis of a sample of 358 articles taken from the Web of Science database, supported by subjective assessments based on the research focused on the integration of management into e-learning domain. Citations and PageRank metrics were used to identify the most influential papers along with most influential authors. To understand the intellectual structure of the research area, a co-citation network was developed. The study may help to explore effective ways of delivering education during a crisis, while also taking a sustainable approach to the promotion of education through online methods. By understanding the behavior of learners towards various forms of content delivery, policy makers at national level can develop a framework to implement it nationwide.
Highlights
The year 2020 has presented the world with unanticipated challenges amidst the pandemic COVID-19
It can be observed that there is a long list of authors that are not reported with articles 3 or less, reflecting a handful of scholars have specialized in E-learning through managerial lens
Fluck and Hillier, (2013); Hillier, (2014) submits that the higher rate of acceptance of technology in education can lead to computerized examinations in the forthcoming years
Summary
The year 2020 has presented the world with unanticipated challenges amidst the pandemic COVID-19. The 21st century learner can be anyone, ranging from someone who is married and has children, with either a part time or full-time job to a student living a far distance from institute This scenario facilitates the need for e-learning to assist today’s student’s educational requirements. The research methodology applied in the study is a combination of Bibliometric analysis, Systematic Literature Review and network analysis, which enabled in identifying the intellectual structure and provided a comprehensive outline of the research domain. Bibliometric analysis has proved out to be the most suitable way to understand the conceptual structure of a research domain (Castriotta et al 2019) It helps in identifying the present state of research and recognition of future avenues (Li et al 2017).
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