Ontology-based generated learning objects for mobile language learning

Miloš Milutinović1, Živko Bojović1, 2, Aleksandra Labus1, Zorica Bogdanović1 and Marijana Despotović-Zrakić1

  1. Faculty of Organizational Sciences, University of Belgrade
    Jove Ilića 154, 11000 Belgrade, Serbia
    {milosm, zivko, aleksandra, zorica, maja}@elab.rs
  2. Faculty of technical sciences, University of Novi Sad
    Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia


Adaptivity is an essential quality for any mobile learning process. When learning on the move, in short time intervals, the learning process is often limited, and content needs to be adapted in order to keep the interactions with the user simple, effective, and motivating. This paper presents a model for mobile adaptive language learning, with the main goal of improving the mobile language learning process using adaptive techniques. The presented model is designed in such a way to utilize unique opportunities for delivery of learning content in authentic learning situations. In order to allow adaptivity based on several parameters, an ontological framework is presented along with a format of lightweight learning objects for content delivery. A cloud and web-service based system for adaptation is envisioned on top of the ontological framework and presented, with some implementation suggestions and possibilities discussed.

Key words

adaptive learning, mobile learning, ontologies, learning objects, cloud computing

Digital Object Identifier (DOI)


Publication information

Volume 13, Issue 2 (June 2016)
Year of Publication: 2016
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Milutinović, M., Bojović, Ž., Labus, A., Bogdanović, Z., Despotović-Zrakić, M.: Ontology-based generated learning objects for mobile language learning. Computer Science and Information Systems, Vol. 13, No. 2, 493–514. (2016), https://doi.org/10.2298/CSIS141030004M