Delivering Relevant Training Objects to Personal Desktop with Modern WBT-Systems

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Helic, D. (2004). Delivering Relevant Training Objects to Personal Desktop with Modern WBT-Systems. International Journal on E-Learning, 3(2), 42-50. Norfolk, VA: AACE.
Retrieved from http://www.editlib.org/p/2159.

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Journal Information

International Journal on E-Learning
ISSN 1537-2456
Volume 3, Issue 2, 2004
Association for the Advancement of Computing in Education (AACE)  Norfolk, VA

More Information on IJEL

Author

Denis Helic, IICM, TU Graz, Austria

Abstract

"** Invited as a paper from ED-MEDIA 2002 **" To participate in a particular Web-based training session students work with a number of tools reflecting a particular training strategy. By doing so they access different training objects containing relevant information for their current training task. Since modern WBT systems support dozens of different, sometimes rather complex tools and provide access to thousands of training objects students are often confronted with a complex user interface, to say at least. Moreover, users who prepare training sessions for modern WBT systems, that is, authors and tutors experience similar problems of a complex, inscrutable user interface. This paper describes a simple general WBT user interface solution that we developed in order to overcome such problems. Additionally, the paper provides an evaluation of the responses from users that we gathered after we applied that solution in one modern WBT system – WBT-Master. This evaluation showed us that there was much more potential in our solution than we believed at the first, resulting in the evolution of our user interface solution to a simple knowledge delivery tool. By applying this tool in our training sessions we achieved the following. Only the most relevant and up-to-date training objects residing in the system could become a part of our training sessions. Moreover, these training objects were always accompanied with conceptual maps describing their relationships with other training objects in the system.

Keywords

• Administrators
• Learning Objects
• Artificial Intelligence
• Multimedia
• System Configurations

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