Ontology-based generated learning objects for mobile language learning

Miloš Milutinović, Živko Bojović, Aleksandra Labus, Zorica Bogdanović, Marijana Despotović-Zrakić

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.