Advertisement

A Comparative Study of the Mobile Learning Approaches

  • Sameh BaccariEmail author
  • Florence Mendes
  • Christophe Nicolle
  • Fayrouz Soualah-Alila
  • Mahmoud Neji
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10026)

Abstract

With the emergence of mobile devices (Smart Phone, PDA, UMPC, game consoles, etc.), and the growth of offers and needs of a company under formation in motion, multiply the work to identify relevant new learning platforms to improve and facilitate the process of distance learning. The next stage of distance learning is naturally the port of e-learning to new mobile systems. This is called m-learning (mobile learning). Because of the mobility feature, m-learning courses have to be adapted dynamically to the learner’s context. Several researches addressed this issue and implemented a mobile learning environment. In this paper, we compare a list of mobile learning architectures with methods presented in the literature. The evaluation presents a set of criteria specifically identified to qualify m-learning architectures dedicated to the context-change management.

Keywords

Mobile technology E-learning M-learning Context-change management Learning method 

References

  1. 1.
    Sharples, M., Roschelle, J.: Guest editorial: special issue on mobile and ubiquitous technologies for learning. IEEE Trans. Learn. Technol. 3(1), 4–5 (2010)CrossRefGoogle Scholar
  2. 2.
    Sharma, S.K., Kitchens, F.L.: Web services architecture for m-learning. Electron. J. eLearn. 2(1), 203–216 (2004)Google Scholar
  3. 3.
    Laouris, Y.: We need an educationally relevant definition of mobile learning. In: 4th World Conference on mLearning (MLearn), Cape Town, South Africa (2005)Google Scholar
  4. 4.
    Lam, J., Yau, J., Cheung, S.: A review of mobile learning in the mobile age. In: Tsang, P., Cheung, Simon, K.,S., Lee, Victor, S.,K., Huang, R. (eds.) ICHL 2010. LNCS, vol. 6248, pp. 306–315. Springer, Heidelberg (2010). doi: 10.1007/978-3-642-14657-2_28 CrossRefGoogle Scholar
  5. 5.
    Sharples, M.: How can we address the conflicts between personal informal learning and traditional classroom education? In: Big Issues in Mobile Learning, Report of a Workshop by the Kaleidoscope Network of Excellence Mobile Learning Initiative, pp. 21–24. University of Nottingham (2006)Google Scholar
  6. 6.
    Lonsdale, P., Beale, R.: Towards a dynamic process model of context. In: Proceedings of UbiComp 2004 Workshop on Advanced Context Modeling, Reasoning and Manage (2004, to appear)Google Scholar
  7. 7.
    Brodersen, C., Christensen, B.G., Gronboek, K., Dindler, C., Sundararajah, B.: eBag: a ubiquitous web infrastructure for nomadic learning. In: Paper Presented at the Proceedings of the 14th International Conference on World Wide Web (2005)Google Scholar
  8. 8.
    Arrigo, M., Giuseppe, O.D., Fulantelli, G., Gentile, M., Novara, G., Seta, L., et al.: A collaborative m-learning environment. In: Paper Presented at the 6th Annual International Conference on Mobile Learning, Melbourne Australia (2007)Google Scholar
  9. 9.
    Yau, J.K., Joy, M.S.: A self-regulated learning approach: a mobile context-aware and adaptive learning schedule (mCALS) tool. Int. J. Interact. Mob. Technol. 2(3), 52–57 (2008)Google Scholar
  10. 10.
    Nguyen, V.A., Pham, V.C., Ho, S.D.: A context - aware mobile learning adaptive system for supporting foreigner learning English. In: International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), IEEE RIVF, pp 1–6 (2010)Google Scholar
  11. 11.
    Yin, C.: SAMCCO: a system of contextual and collaborative mobile learning in the professional situations (in French), Thesis of Ecole Centrale de Lyon, Computer Science Department, 25 January 2010Google Scholar
  12. 12.
    SoualahAlila, F., Mendes, F., Nicolle, C.: A context-based adaptation in mobile learning. IEEE Comput. Soc. Tech. Committee Learn. Technol. (TCLT) 15(4), p. 5 (2013)Google Scholar
  13. 13.
    Gómez, S., Zervas, P., Sampson, D., Fabregat, R.: Context-aware adaptive and personalized mobile learning delivery supported by UoLmP. J. King Saud Univ. Comput. Inf. Sci. 26, 47–61 (2014)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Sameh Baccari
    • 1
    Email author
  • Florence Mendes
    • 2
  • Christophe Nicolle
    • 2
  • Fayrouz Soualah-Alila
    • 2
  • Mahmoud Neji
    • 1
  1. 1.MIRACL, University of SfaxSfaxTunisia
  2. 2.LE2I, UMR CNRS 6306, University of BourgogneDijonFrance

Personalised recommendations