Paper Info
Title
A model-driven approach for modelling and simulating new malleable learning scenarios for digital native generations
Abstract
Our research proposes an innovative approach that aims at supporting pedagogical designers and teachers to reach |new| learners of today or |digital natives| by allowing them to model, generate and simulate new pervasive, context-aware and adaptive learning scenarios. The core element of this approach consists of an educational modelling language called context-aware adaptive activities modelling language (CAAML) and based jointly on activity theory and IMS-LD standard. To define CAAML language, firstly, we start with identifying relevant concepts that can describe the domain of |malleable learning| which is a useful designation we have found for pervasive, context-aware and adaptive learning. Secondly, we describe its meta-model based on those domain concepts. After, we present the developed authoring tool called ContAct-Me which is based on the CAAML language. To test and evaluate our work, we finally present a learning scenario that values the importance of the proposed graphical language in expressing, modelling and simulating new malleable learning environments.
Year
DOI
Venue
2011
10.1504/IJLT.2011.043581
IJLT
Keywords
Field
DocType
caaml language,innovative approach,proposed graphical language,adaptive learning,context-aware adaptive activity,ims-ld standard,new malleable,model-driven approach,domain concept,educational modelling language,malleable learning,digital native generation,learning technology,digital natives
Robot learning,Educational technology,Digital native,Algorithmic learning theory,Graphical language,Computer science,Knowledge management,Synchronous learning,Human–computer interaction,Artificial intelligence,Adaptive learning,Educational modelling language
Journal
Volume
Issue
ISSN
6
3
1477-8386
Citations 
PageRank 
References 
2
0.44
8
Authors
2
Name
Order
Citations
PageRank
Jihen Malek1313.66
Mona Laroussi25511.39