E-Learning, E-Education, and Online Training. Third International Conference, eLEOT 2016, Dublin, Ireland, August 31 – September 2, 2016, Revised Selected Papers

Research Article

Comparative Study of the Mobile Learning Architectures

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  • @INPROCEEDINGS{10.1007/978-3-319-49625-2_23,
        author={Sameh Baccari and Florence Mendes and Christophe Nicolle and Fayrouz Soualah-Alila and Mahmoud Neji},
        title={Comparative Study of the Mobile Learning Architectures},
        proceedings={E-Learning, E-Education, and Online Training. Third International Conference, eLEOT 2016, Dublin, Ireland, August 31 -- September 2, 2016, Revised Selected Papers},
        proceedings_a={ELEOT},
        year={2017},
        month={1},
        keywords={Mobile technology E-Learning M-learning Context-change management Learning method},
        doi={10.1007/978-3-319-49625-2_23}
    }
    
  • Sameh Baccari
    Florence Mendes
    Christophe Nicolle
    Fayrouz Soualah-Alila
    Mahmoud Neji
    Year: 2017
    Comparative Study of the Mobile Learning Architectures
    ELEOT
    Springer
    DOI: 10.1007/978-3-319-49625-2_23
Sameh Baccari,*, Florence Mendes,*, Christophe Nicolle,*, Fayrouz Soualah-Alila,*, Mahmoud Neji,*
    *Contact email: sameh_baccari@yahoo.fr, florence.mendes@checksem.fr, cnicolle@u-bourgogne.fr, fayrouz.soualah-alila@checksem.fr, Mahmoud.neji@fsegs.rnu.tn

    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.