Authors:
Manel BenSassi
;
Mona Laroussi
and
Henda BenGhezala
Affiliation:
Riadi Laboratory, National School of Computer Science, Manouba University and Tunisia
Keyword(s):
Learning Experience Design, Mobile Learning Scenario, Reliability, Predictive Analytics, Formal Method.
Related
Ontology
Subjects/Areas/Topics:
Usability and Ergonomics
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
In this paper, we present a predictive analytical framework for mobile and ubiquitous learning environment based on three main dimensions: learner, contextualized activity and space. The main objective of this proposal is to assist pedagogical designer in developing engaging and effective courses by focusing on the learner’s experience and his learning environment. To do that, a solid structure is essential to organize correlations between different activities and to assess their reliability with the learner’s context. The strengths of our proposal lie in the fact that, in a formal manner through friendly graphical interfaces, it allows pedagogical designers:(1) to specify, model, simulate, analyse and verify different types of context-aware and adaptive learning activities and their related contexts, (2) to assess the reliability of the indoor and outdoor learning spaces within pervasive environment through factual cases and to experiment various learning scenarios, (3) To simulate
and to verify interactions and co-adaptability rules between learner, contextualized activity and space.
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