Relationship between learning styles and effectiveness of online learning systems
by Vicky Ching Gu; Jason Triche; Mark A. Thompson; Qing Cao
International Journal of Information and Operations Management Education (IJIOME), Vol. 5, No. 1, 2012

Abstract: Online learning has become a popular medium to disseminate knowledge for both institutions of learning and for companies. The economic benefits to deliver knowledge and training online are well documented; however, there are still issues as to its effectiveness. One way that online learning may be more effective is by taking into account a student's learning style. Our research seeks to understand if online learning tools account for learning styles, will users find them useful and easier to use thus resulting in a successful online learning environment? We propose an extended Technology Acceptance Model (TAM) to include learning styles as an external variable. Our results show significance for six of the seven hypotheses. Educators and corporate training departments can use these findings to design a better online learning environment for their students and workforce.

Online publication date: Sat, 29-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Operations Management Education (IJIOME):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com