Title: A methodology for designing mobile, pervasive, seamless and IoT-based learning scenarios: language, process and supporting tools

Authors: Jihene Malek; Mona Laroussi; Henda Ben Ghezala; Mariem Nefzi

Addresses: Laboratoire RIADI, Ecole Nationale des Sciences de l'Informatique (ENSI), Université de la Manouba, 2010 Manouba, Tunis, Tunisia ' Laboratoire RIADI, Ecole Nationale des Sciences de l'Informatique (ENSI), Université de la Manouba, 2010 Manouba, Tunis, Tunisia ' Laboratoire RIADI, Ecole Nationale des Sciences de l'Informatique (ENSI), Université de la Manouba, 2010 Manouba, Tunis, Tunisia ' Department of Operations and Decision Systems, Laval University, Québec, Canada

Abstract: A significant interest and a considerable attention have been given, in recent years, to the mobile pervasive and the Internet of Things (IoT) throughout different fields such as education. However, there are only few empirical examples regarding the use of those technologies in learning design and there is a scarcity of theoretical researches and studies within the literature. This paper seeks to fill this gap by investigating features required in designing such TEL scenarios and by proposing a methodology that allows teachers to design, simulate, enact and track, innovative learning scenarios. The strengths of our approach lie in the fact that it takes into account both design and run-time phases by combining mobile and IoT Key elements, Model-driven development, Activity theory and Tin-Can Api specification. We have conducted two researches at the Tunisian Bardo National Museum to verify the utility of applying the proposed methodology. The paper concludes with a discussion of how the methodology meets the challenges.

Keywords: mobile learning; ubiquitous learning; learning design; modelling and simulation; interactive learning environments; computer-assisted instruction.

DOI: 10.1504/IJMLO.2019.100402

International Journal of Mobile Learning and Organisation, 2019 Vol.13 No.3, pp.255 - 285

Received: 21 Dec 2017
Accepted: 26 Jul 2018
Published online: 28 Jun 2019 *

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