A model-driven approach for modelling and simulating new malleable learning scenarios for digital native generations

  • Authors:
  • Jihen Malek;Mona Laroussi

  • Affiliations:
  • Laboratoire RIADI, Ecole Nationale des Sciences de l;Informatique (ENSI), Campus Universitaire de Manouba, 2010 Manouba, Tunis, Tunisia/ Centre Urbain Tunis, Institut National des Sciences Appliqué/es et de Technologie (INSAT), Nord BP 676, CEDE ...

  • Venue:
  • International Journal of Learning Technology
  • Year:
  • 2011

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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.