332
Views
2
CrossRef citations to date
0
Altmetric
Articles

A Delphi investigation into future trends in e-learning in Israel

&
Pages 789-803 | Received 02 Apr 2012, Accepted 11 Sep 2012, Published online: 06 Nov 2012
 

Abstract

The purpose of this study is to investigate the views and opinions of e-learning experts regarding future trends in the e-learning arena. The Delphi technique was chosen as a method of study. This technique is an efficient and effective group communication process designed to systematically elicit judgments from experts in their selected area of expertise. The 35 experts who participated in this study were asked to rate 16 statements according to what they think will probably happen (probability) and what they would like to see happen (desirability). Findings show that participants believe that the use of new technologies will change current educational theories and methodologies and will have impact on instructor skills, effort, feedback, and interaction as well as on the process of learning assessment. Concerning the future of e-learning, participants view a future tendency toward the provision of full online degrees, yet they are skeptical, stating that the e-learning setting will not completely replace the frontal educational setting. Regarding the impact of social and mobile technologies on e-learning, experts seem to view the role of social and mobile technologies as facilitators in the transfer and sharing of information in e-learning settings.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 296.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.