TY  - Type of reference 
TI  - Modeling of Next Generation Digital Learning Environments: Complex Systems Theory 
AU  - Marc Trestini 
AB  - Communication information technology tools provide easy access to vast amounts of human knowledge. Knowledge is used to empower and enrich people culturally and materially and to build a sustainable society. Social networks, OCWs, MOOCs and connectivist approaches to learning contribute significantly to the construction of this knowledge. But the study of these new digital learning environments (ENA) is also becoming more complicated. The use of complex system modelling makes it possible to transcribe the observed phenomena and facilitate their analysis using specific tools. This paper presents and highlights the value of the complex systems theory for the study of the new-generation ENA behaviour. It describes in depth a realistic approach and proposes effective management tools. 
DO  - 10.21494/ISTE.OP.2019.0381 
JF  - Information, Organization, Knowledge 
KW  - Digital learning environment,  MOOC,  instrumented activity,  complex systems modeling,  system paradigm,  connectivism,  distributed cognition,  emerging phenomena,  MOOC, Environnement numérique d’apprentissage,  activité instrumentée,  modélisation des systèmes complexes,  paradigme systémique,  connectivisme,  cognition distribuée,  phénomènes émergents,  
L1  - https://openscience.fr/IMG/pdf/iste_ioc19v2n1_2.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2019/04/18 
SN  - 2632-6450 
TT  - L’Environnement Numérique d’Apprentissage inscrit dans le paradigme de la modélisation systémique de la complexité 
UR  - https://openscience.fr/Modeling-of-Next-Generation-Digital-Learning-Environments-Complex-Systems 
IS  - Issue 1 
VL  - 2 
ER  -