With the advent of the Internet, we are seeing more sophisticated
techniques being developed to support e-learning. The rapid development
of Web-based learning and new concepts like virtual classrooms, virtual
laboratories and virtual universities introduces many new issues to be
addressed. On the technical side, we need to develop effective e-
technologies for supporting distance education. On the learning and
management side, we need to consider issues such as new style of
learning and different system set-up requirements. Finally, the issue of
standardization of e-learning systems should also be considered. In this
special issue, our focus will be on the technical side, although other
issues related to knowledge and data engineering for e-learning may also
be considered.
Topics:
In this special issue, we call for original papers describing novel
knowledge and data engineering techniques that support e-learning.
Preference will be given to papers that include an evaluation of users'
experience in using the proposed methods. Areas of interests include,
but are not limited to:
Semantic Web technology for e-learning
Data modeling (eg., XML) for efficient management of course materials
Searching and indexing techniques to support effective course notes retrieval
User-centric e-learning systems and user interaction management
Profiling techniques to support grading and learning recommendation
Data and knowledge base support for pervasive e-learning
Course material analysis and understanding
Automatic generation of questions and answers
Collaborative communities for e-learning
Submission:
Prospective authors should prepare manuscripts according to the
Information for Authors as published in recent issues of the journal or
at www.computer.org/tkde/.
Note that mandatory over-length page charges
and color charges will apply. Manuscripts should be submitted through
the online IEEE manuscript submission system at
http://cs-ieee.manuscriptcentral.com/.
Updated information of this call can be found at
www.cs.cityu.edu.hk/~rynson/tkde/tkde-cfp.html.
