Scope:

The use of Information Technologies in Education has been extensively
researched in the past few years with a plethora of solutions already
in use by numerous organizations. However, user-adoption difficulties
in real situations has only demonstrated that the primary need is the
design of techniques and tools that have a real practical impact and
facilitate a paradigm shift in the educational model. This shift in
the Educational paradigm is focused on knowledge construction, which
will enhance, not replace, the classic information transfer paradigm.

The management of knowledge in Educational contexts enables social
learning, active collaboration among human peers and especially
enhanced presence. The next generation of Information technology
tools in Education will facilitate the transformation of information
into knowledge, by humans as well as ? progressively ? by software
agents, providing the electronic underpinning for a global society
in business, government, research, science and education.


Artificial Intelligence can be a major enabling technology for this
type of Educational paradigm. AI?s application in Education is one
of the oldest yet still promising and most exciting research topics
with a significant practical impact. Especially Knowledge Management
has yet much to offer in the way computing in education is used. The
goal of the Workshop is to assess the impact of Knowledge Management
to current Educational practices and more significantly, to identify
opportunities, benefits and drawbacks to current practices that will
permit progress beyond the state of the art.

The Workshop aims at addressing theoretical and practical i27ssues
concerning new trends in knowledge discovery, acquisition,
representation, sharing and reuse. By accepting original contributions
from platform and tool providers, researchers and system developers
from academia and industry it seeks to be a forum for exchanging ideas
and experiences, sharing of best practices and fostering further
development in the application of AI in Education.


Topics of Interest

The workshop topics include but are not limited to the following
applications of AI in Education:

-Knowledge discovery, modeling, visualization, sharing and reuse
-Knowledge Management and Social Learning
-Knowledge-based Learning Systems
-Knowledge Relationship Discovery and Statistical Relational Learning
-Learning theory and Knowledge Management
-Knowledge Management and Learning Content
-Knowledge management, sharing and reuse in Virtual Communities
-Data mining techniques for Knowledge discovery
-Ontology design, reuse and population
-Machine Learning and Probabilistic Theory for adaptation techniques
-Modeling user motivations and goals
-Innovative Approaches to Knowledge Management in Education



Important Dates

Paper submission: April 29, 2012
Notification of acceptance/rejection: May 26, 2012
Camera-ready submission: June 4, 2012
Early registration: June 4, 2012



Submission

All papers should be submitted via EasyChair at:

https://www.easychair.org/conferences/?conf=aieia2012

Papers should be submitted either in a doc or in a pdf format.
They will be peer reviewed by at least 2 referees. Papers should not
exceed 10 pages formatted according to the LNCS Springer style.



Publication

Accepted papers will be presented orally in the conference for 20 minutes
and they will be published in the Proceedings of the main event.
They will be also considered for potential selection for publication in the
Special Issues that will be edited.

For More Information:

For questions about the paper submission and review process, please contact
the AIeIA 2012 co-chairs Achilleas Kameas (kameas@eap.gr) and Antonia Stefani
(stefani@eap.gr).