Human System
Learning
Who is in control?
Khaldoun Zreik
Mohammed Ramdani
Mohamed El Adnani
Mostafa Bellafkih
ISBN
2-909285-33-2, 398 Pages - Prix 70 Euros
Editorial
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. Mining tools have become the more
popular Machine Learning issues. The fifth ICHSL observes that,
Machine Learning, Humanoid (mainly Human Robot Interaction) and
e-Learning system have proved the necessity of integrating high
level interactive approaches. This means most validated information
has to be retrieved, extracted and transferred within a Human
Computer Collaborative approach in which both Human and Machine
learn from each other. In every validated information production
process roles between users and computers are continually exchanged.
Sometimes decisions are owned and controlled by the machine and
at other times by users. In summary, Interactive M.L. Humanoid
Robot and e-Learning tools have to adopt a user driven design
approach. They should learn from and about their users. Both E-learning
systems and Humanoid Robots must embed some machine learning tools.
Moreover, an efficient Interactive Machine Learning system (during
the information construction or validation) has to consider very
powerful pedagogical and sensitive approaches in order to be able
to learn from their users. From this perspective we can observe
that distances between Interactive Machine Learning, Humanoid
Robot and e-Learning have become closer and closer.
K.
Zreik
Sommaire
/ Contents
Learning
Approaches
Virtual
Learning Community: A Facilitator of Knowledge Transfer in
Collaborative networked organizations
M. Jermol, N. Lavrac...............................................................................
11
Extending
AHA!
C. Romero Morales, S. Ventura Soto, C. Hervás Martínez,
P. de Bra .. 21
Computing a Concise Set of Frequent Closed Itemsets
G. Jatteau, R. Missaoui .........................................................................
41
Towards
a Semantic Learning Model Fostering
Learning Objects Reusability
H. Madhour, E. Fernandes, S. Miniaoui, M. Wentland Forte .................
61
Advanced
e-learning Approaches
Web
Service Based Remote Development Environment
for an e-Learning System
I. Madjarov, A. Betari, Z. Bakkoury ........................................................
79
Towards
New Practices of Education an E-learning on the Web
N. Bouhaï, B. Rieder ..............................................................................
97
Emotional
System for Peer to Peer E-Learning
M. Neji, M. Ben Ammar, A. Alimi ............................................................
107
SMART-Project:
A Multi-Agent System mediated online
learning by project
M. Bousmah, N. Elkamoun, A. Berraissoul ............................................
125
ActiveTutor:
embedding Rational Conversational Agents
into an active tutorial tool
J.P. Fournier, J.P. Sansonnet ................................................................
137
Multi-agents
vision of a use monitor for a virtual campus
based on a workspace metaphor
N. Elkamoun, M. Bousmah, A. Aqqal, A. Berraissoul ............................
153
Interactive
e-learning
Interactivity
and Pedagogy in Multimedia Instrumental
Music Learning
O. Sebastien, N. Conruyt, M. Quafafou .................................................
171
Human
Computer Interaction in Designing Surfboard Fins for
Optimum Drag Lift Ratio and Hydrodynamic Performance
J. Audy, K. Audy, T. Haines ...................................................................
187
Learning
Environment
Stage
Design with Modern Technological Applications
M.C. Perivoliotis .....................................................................................
203
A
design method to develop assessment systems
in the XML environment
M. El-Hajj Barbar, K. Barbar, Y. Monsef, I. Saleh...................................
219
Development
of the adaptive courses : case on line
“Language C/C++” course
K. Afdel, Y.I. Khamlichi, M. Machkour ...................................................
229
Arabic
scientific e-document typography
M. Elyaakoubi, A. Lazrek ........................................................................
241
Automated
concept map analysis for learner modeling
F. Delorme, N. Delestre, J.P. Pecuchet .................................................
253
A
Model of Learning Objects for Learning Environments
C. Cherkaoui, D. Mammass, F. Nouboud, M. El Adnani .......................
267
Interactive
Machine-Learning
Fuzzy
Decision Tree for User Modeling from
Human-Computer Interactions
M. Damez, C. Marsala, T.H. Dang, B. Bouchon-Meunier.......................
287
Interactive
classification of Legal Electronic Documents
P. Renaux ..............................................................................................
303
A
Style of Theater Production inspired by Interactive
Content Data Mining
T. Bouaziz, F. Rousseaux, A. Bonardi ...................................................
315
Retrieving
data from PDF interactive multimedia productions
M. Bari ....................................................................................................
321
Pedagogical
Approaches
Using
pedagogical hypermedia components for the development
of educational applications
A. Balla, A. Medjadji Kouadri Mostefaoui ...............................................
333
Creating
online courses models conforming to IMS Learning Design
E. Giacomini Pacurar, P. Trigano, E. Popescu, P. Crubillé
................... 347
SAAID
intelligent positioning procedure
O. Labouidya, N. Elkamoun, H. Benabdillah, A. Berraissoul .................
361
Planning
solution for physics learning
A. El Hore, S. Tazi ...................................................................................
373
Emergent
complexity in learning and teaching by combining
simple learning technologies
J. Rosbottom, J. Crellin............................................................................
387
