publication of IEEE Computer Society Technical Committee on Learning
Technology (TCLT)
http://www.ieeetclt.org/content/newsletter
SPECIAL ISSUE ON Learning Objects and Their Supporting Technologies for Next
Generation Learning
Guest Editors:
Dr. Vincent Tam and Dr. Edmund Lam
(Department of Electrical & Electronic Engineering, the University of Hong
Kong)
* Deadline for submission: September 11, 2009
Learning Technology Newsletter aims at publishing and disseminating current
research about new and emerging learning technologies as well as their
design, usage, application, and evaluation in different contexts of
technology enhanced learning.
Learning objects (LOs), as clearly defined by the IEEE 1484 standard, are
potentially useful to many innovative applications for next generation
learning. In many e-learning applications, LOs can be help to structure the
organization of important concepts and their retrieval through indexed
terms. To facilitate the explanation of difficult concepts in specific
subject area(s), pictures or video files can be flexibly embedded into LOs.
However, due to the high complexity of the designed structures adapted for
LOs that will simply discourage their reuses, and also the huge costs
involved in the re-engineering of existing e-learning platforms and their
integration, the possible advantages of LOs and their supporting
technologies cannot be fully unveiled in many existing e-learning platforms
in the last decade so as to evolve into enabling technologies for next
generation learning. Therefore, the challenging issues that need to be
addressed in the applications of LOs and their supporting technologies to
existing e-learning platforms include, but are not limited to, the following
topics:
- prominent techniques/tools that help to make LOs as enabling techniques
for next generation learning;
- effective re-engineering methodologies/tools that can facilitate the
integration of LOs into existing e-learning systems;
- enabling methodologies/tools that can promote reuses of LOs within the
same or across different disciplines;
- distributed processing or mobile computing techniques to facilitate the
application or retrieval of LOs in existing e-learning systems;
- intelligent image/video storage and distribution system to facilitate the
retrieval of relevant multimedia files embedded in LOs;
- integration of LOs with other interesting e-learning technologies such as
game based learning systems.
We invite short articles, case studies, and project reports for October
issue. This special issue will be published in Volume 11, Issue 4 (October,
2009).
** The newsletter is of non-refereed nature though the articles will be
selected and edited by the Guest Editors. **
* Submission procedure:
1. The articles in the newsletter are limited to 1000 words.
Over-length articles will not be published.
2. The manuscripts should be either in Word or RTF format.
Any figures used in the contributions would be required separately in a
graphic format (gif or jpeg). The figures should also be embedded in the
text at appropriate places.
3. Please send the manuscripts by email as attachment to vtam@eee.hku.hk
(Subject: Learning Technology October 2009 Submission).
4. In the email, please state clearly that the manuscript is original
material that has not been published, and is not being considered for
publication elsewhere.
For further information please see
http://www.ieeetclt.org/content/newsletter.
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