An empirical investigation on learners' acceptance of e-learning for public unemployment vocational training

Shi-Ming Huang, Chun-Wang Wei, Pao-Ta Yu and Ta-Yi Kuo

International Journal of Innovation and Learning, 2006, vol. 3, issue 2, 174-185

Abstract: Public vocational training is one of the major tasks for the modern government to solve the unemployment problem. The e-learning technology has been seen as a potential solution. However, we cannot confirm whether learners would like to accept e-learning systems. Unfortunately, most of the e-learning research focuses on the platform development. Without the real user acceptance, the implementation of the new technology will be difficult. This study focuses on the user acceptance investigation for the e-learning technology in public unemployment vocational training. The Technology Acceptance Model is adopted for this empirical study. The result shows that most of the public vocational training learners will accept the e-learning technology and the content usefulness is a major factor to impact the learner adoption decision. It suggests that the government e-learning project should focus on the content designed with a standard format (such as SCORM), but not put most budget on the e-learning platform infrastructure.

Keywords: e-learning; online learning; web-based learning; public vocational training; technology acceptance model; TAM; innovation; sharable content object reference model; SCORM; unemployment; user acceptance; learner adoption; content design; platform infrastructure; jobless. (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=8419 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:3:y:2006:i:2:p:174-185

Access Statistics for this article

More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().