Computer Science and Information Systems 2016 Volume 13, Issue 2, Pages: 493-514
https://doi.org/10.2298/CSIS141030004M
Full text ( 594 KB)
Ontology-based generated learning objects for mobile language learning
Milutinović Miloš (Faculty of Organizational Sciences, Belgrade)
Bojović Živko (Faculty of Organizational Sciences, Belgrade + Faculty of technical sciences, Novi Sad)
Labus Aleksandra (Faculty of Organizational Sciences, Belgrade)
Bogdanović Zorica (Faculty of Organizational Sciences, Belgrade)
Despotović-Zrakić Marijana (Faculty of Organizational Sciences, Belgrade)
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.
Keywords: adaptive learning, mobile learning, ontologies, learning objects, cloud computing
Projekat Ministarstva nauke Republike Srbije, br.
174031