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Analyzing the Mobile Learning System Behavior: The Case of the Russian Verbs of Motion

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 744))

Abstract

The evolution of mobile technologies gives the opportunity for innovative approaches to the content, the process and the evaluation of the educational activity. In this paper we study the particular situation where learner (student) is in displacement, in various conditions (walking in the rain, driving a car, riding a bicycle etc.), and receives the educational content through his or her smart mobile devices. Such a dynamic educational process, that we call mobile learning, presents many new aspects to study. We focus on the study of the interaction of the student with the educational process, running under various influencing factors and restrictions. In particular, the research carried out on Greek students who are learning Russian language.

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References

  1. Kalita, O.: Contributing in an ethno-oriented methodology: the case of Greek students who learn Russian verbs of motion. Int. J. Comput. Intell. Stud. 5(1), 94–105 (2016)

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  2. Kalita, O., Balykxina, T., Pavlidis, G.: Mobile navigator for learning foreign languages. In: 6th IEEE International Conference on Information, Intelligence, Systems and Applications, Corfu, Greece (2015)

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  3. Nanopoulos, Ph: Méthodes et Programmes de Segmentation. Département de Mathématique. Centre de Calcul. Université Louis Pasteur, Strasbourg (1973)

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Correspondence to Oxana Kalita .

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Kalita, O., Denisenko, V., Tryapelnikov, A., Nanopoulos, F., Pavlidis, G. (2017). Analyzing the Mobile Learning System Behavior: The Case of the Russian Verbs of Motion. In: Boracchi, G., Iliadis, L., Jayne, C., Likas, A. (eds) Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744. Springer, Cham. https://doi.org/10.1007/978-3-319-65172-9_54

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  • DOI: https://doi.org/10.1007/978-3-319-65172-9_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65171-2

  • Online ISBN: 978-3-319-65172-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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