Predictive Analytical Framework based on Formal Method to Enhance Mobile and Pervasive Learning Experience

Manel BenSassi, Mona Laroussi, Henda BenGhezala

2018

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.

Paper Citation

in Harvard Style

BenSassi M., Laroussi M. and BenGhezala H. (2018). Predictive Analytical Framework based on Formal Method to Enhance Mobile and Pervasive Learning Experience.In Proceedings of the 14th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-324-7, pages 231-238. DOI: 10.5220/0006935802310238

in Bibtex Style

@conference{webist18,
author={Manel BenSassi and Mona Laroussi and Henda BenGhezala},
title={Predictive Analytical Framework based on Formal Method to Enhance Mobile and Pervasive Learning Experience},
booktitle={Proceedings of the 14th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2018},
pages={231-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006935802310238},
isbn={978-989-758-324-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Predictive Analytical Framework based on Formal Method to Enhance Mobile and Pervasive Learning Experience
SN - 978-989-758-324-7
AU - BenSassi M.
AU - Laroussi M.
AU - BenGhezala H.
PY - 2018
SP - 231
EP - 238
DO - 10.5220/0006935802310238