Back to Search Start Over

A first investigation for reducing e-learning environment complexity by Multiscale

Authors :
Alain Derycke
Rim Drira
Mona Laroussi
Lifl, Hal
Laboratoire d'Informatique Fondamentale de Lille (LIFL)
Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)
Nouveaux Outils pour La Coopération et l'Education (NOCE)
Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)
Source :
Proceedings of IEEE CISSE07, Proceedings of IEEE CISSE07, 2007, University of Bridgeport, USA, France, Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education ISBN: 9781402087387
Publication Year :
2007
Publisher :
HAL CCSD, 2007.

Abstract

We present in this paper the results of our study concerning the application of some techniques from complex system field (multiscale) in e-learning research. The motivation for this innovative inquiry is that we still think that complex problems related to e-learning remain in components, when they are usually in the relationships between them. We demonstrate how a complex system perspective to e-learning is promising to bring a solution for this problem.

Details

Language :
ile
ISBN :
978-1-4020-8738-7
ISBNs :
9781402087387
Database :
OpenAIRE
Journal :
Proceedings of IEEE CISSE07, Proceedings of IEEE CISSE07, 2007, University of Bridgeport, USA, France, Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education ISBN: 9781402087387
Accession number :
edsair.doi.dedup.....f348f5a08df407d271fd2fb9fac22f9c