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Towards the Design of an Innovative and Social Hybrid Learning Based on the SMAC Technologies

  • Nadia Chafiq
  • Mohamed Housni
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)

Abstract

The blended learnings are currently part of the higher education scene, but with significant variations between teachers, institutions and even countries. The introduction of a hybrid learning in the university context influences the habits and the behaviours vis-vis the teaching practices deeply. In this regard, to facilitate the adaptation and the acceptance of the changes induced by the implementation of hybrid devices in the teaching activity and thus reducing the learner’s refusal factors, it is necessary to design an innovative hybrid learning that meets the social needs of Generation C learners. The design of these devices must adapt to the rapid development of Social, Mobile, Analytics and Cloud Computing and must meet the current needs of the digital generation. In this context, the present work focuses on the implementation of a design model of a hybrid social and innovative device. Subsequently, we examine the contributions of this model via the experimentation of a platform dating from the period 2017–2018.

Keywords

SMAC technologies Hybrid learning FOAD LMS 

Notes

Acknowledgment

I would like to thank my advisor Mr. Talbi, Ph.D., for their invaluable guidance and many useful suggestions during my work on this paper. I would also like to express my gratitude to all those who gave me the possibility to complete this paper.

References

  1. 1.
    Charlier, B., Deschryver, N., Peraya, D.: Apprendre en présence et à distance, à la recherche des effects des dispositifs hybrids? p. 5 (2005)Google Scholar
  2. 2.
    Malcolm, F.: Don’t Get SMACked: How Social, Mobile, Analytics and Cloud Technologies are Reshaping the Enterprise, p. 3 (2012)Google Scholar
  3. 3.
    Laurillard, D., Charlton, P., Craft, B., Dimakopoulos, D., Ljubojevic, D., Magoulas, G., Masterman, E., Pujadas, R., Whitley, E., Whittlestone, K.: A Constructionist Learning Environment for Teachers to Model Learning Designs, p. 4. Blackwell Publishing Ltd., Hoboken (2011)Google Scholar
  4. 4.
    Chafiq, N., Benabid, A., Berdagi, M., Lima, L.: Intérêts et limites de la mise en oeuvre d’un dispositif hybride pour le developpement de la compétence langagière chez les étudiants scientifiques. Le langage et l’homme: Revue de didactique du français 47(1), 111–119 (2012). ISSN 0458-7251Google Scholar
  5. 5.
    Housni, M., Namir, A., Talbi M., Chafiq N.: Applying Data Analytics and Cumulative Accuracy Profile (CAP) Approach in Real-Time Maintenance of Instructional Design Models (2018)Google Scholar
  6. 6.
    Hennion, N.: Introduction aux technologies cloud, p. 3 (2011)Google Scholar
  7. 7.
    Hase, S., Kenyon, C.: From andragogy to heutagogy, p. 1 (2000)Google Scholar
  8. 8.
    Chafiq, N., Talbi, M.: Tutoring functions in a blended learning system: case of specialized French teaching. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 8(2), 25 (2017)Google Scholar
  9. 9.
    Loisier, J.: La socialisation des étudiants en FAD au canada francophone. Réseau d’enseignement francophone distance du Canada (REFAD), p. 5 (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Multidisciplinary Laboratory in Sciences and Information, Communication, and Educational Technology (LAPSTICE), Observatory of Research in Didactics and University Pedagogy (ORDIPU), Faculty of Sciences Ben M’SikHassan II University of CasablancaCasablancaMorocco
  2. 2.Laboratory of Information Technology and Modeling (LTIM), Faculty of Sciences Ben M’SikHassan II University of CasablancaCasablancaMorocco

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