Transfer of e-learning in the workplace: The effects of trainee characteristics and contextual factors
by Ronen, Eyal, Ph.D., ILLINOIS INSTITUTE OF TECHNOLOGY, 2008, 80 pages; 3370879

Abstract:

A substantial increase in the use of technology based training has been seen in recent years. Organizations of all sizes and across industries are using e-learning to facilitate employee development. Past research has focused on factors that enable the design of effective e-learning programs. However, little has been done to assess various factors that contribute to the transfer of e-learning.

While integrating the cognitive load theory and the multi-tasking literature, the current field survey investigated design characteristics, trainee characteristics, and contextual factors in relation to the self-reported transfer of e-learning to the job. The study participants included 608 employees of various organizations, 418 of which had participated in organizational e-learning.

The findings indicated that several trainee characteristics, including computer self-efficacy, core self-evaluation, but not age, were correlated with transfer of e-learning. Additionally, the usability of the e-learning program mediated the relationship between computer self-efficacy and transfer. The work environment was also found to predict the transfer of e-learning. Specifically, perceived supervisor support and work overload contributed to the prediction of transfer of e-learning.

The physical location in which participants completed the e-learning program was related to the number of distracting activities that the trainees engaged in. Although the majority of participants engaged in multi-tasking while participating in e-learning, no significant impact of multi-tasking on transfer was found. Limitations and suggestions for future research are presented.

 
AdviserAnnette J. Towler
SchoolILLINOIS INSTITUTE OF TECHNOLOGY
SourceDAI/B 70-08, p. , Oct 2009
Source TypeDissertation
SubjectsEducational psychology; Occupational psychology; Educational technology
Publication Number3370879
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:3370879
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.