14-16
May, 2008
Toulouse, France
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Main
scope:
WHAT
IS LEARNING ? The
Information Society is burgeoning and new technology is shifting educational,
learning and training paradigms. Virtual Universities, Cyber-Classrooms,
e-Learning, Wireless Based Learning, Humanoid Robots, Data Mining,
Text Mining, Web Semantic, etc. may be cryptic catch phrases now but
will be within the main learning and teaching norm in a very near
future.
The sixth ICHSL observes that, Machine Learning, Humanoid (mainly
Human Robot Interaction) and e-Learning system have in common a real
complex challenge: What learning has become?
Whether learning has to occur within Humans, Machines or Interactions
between Humans and Machine, the process of learning is still perceived
as complex.
Learning context has shifted. Learning paradigms have shifted as well
as learning Strategies. Learning environment has totally be changed
as well as learning assessment, learning control, learning evolving,
learning scheduling, etc. etc.
ICHSL.6 dares to bring up again this non ended question: What is learning
into a very modern and dynamic hybrid environment.
ICHSL organizing committee has hesitated for long time before choosing
this risky topic. It could be felt surprising to invite researchers
to express their visions and projects, on 2007, about learning process.
However, our experiences, especially during the last 5 ICHSL conferences
have shown that most of us has different perception, understanding
and conception of this old phenomena which is Learning.
Topics
- Learning environment
- Learning Logic
- Learning paradigm
- Human and Machine
Learning Fuzziness
- Human Robot
Interaction (focused on learning approaches only)
- Interactive
Learning
- Interactive
e-learning
- Interactive
Mining Tools
- Learning from
electronic dynamic documents
- New Learning
Support Systems
And ICHSL relevant
topics: Cognition, Data Mining, Distributed Artificial Intelligence,
Ergonomic, Human-System Interactions, Humanoid, Knowledge Data Discovery,
New Educational Technology, System Design, Text Mining, Wireless &
Web Based Learning, Web Mining.
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