Title :
An ontology-based adaptive mobile learning system based on learners´ abilities
Author :
Yarandi, M. ; Jahankhani, H. ; Tawil, Abdel-Rahman
Author_Institution :
Sch. of Comput. Inf. Technol. & Eng., Univ. of East London, London, UK
Abstract :
The rapid development of wireless infrastructure and wide use of mobile devices in our daily life has a major impact on our way of learning using computing technology. Particularly, learning a new language is a challenging task for researchers. Furthermore, adaptive services is nowadays an important research topic in the field of web-based and mobile learning systems as there are no fixed learning path which are appropriate for all learners. However, most studies in this field have only focused on learning styles and habits of learners. Far too little attention has been paid on understanding the ability of learners. Therefore, the purpose of this paper is to propose a new adaptive mobile learning model for learning new languages based on the ability of learners. An ontology-based knowledge modelling technique is proposed to classify language learning materials and describe user profiles in order to provide adaptive learning environment.
Keywords :
Internet; computer aided instruction; knowledge management; mobile computing; ontologies (artificial intelligence); Web-based learning system; adaptive mobile learning model; computing technology; language learning material classification; ontology-based adaptive mobile learning system; ontology-based knowledge modelling technique; wireless infrastructure; Adaptation models; Adaptive systems; Courseware; Learning systems; Materials; Mobile communication; Ontologies; Adaptive Systems; Item Response Theory; Language Learning; Mobile Learning; Personalised Learning;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2012 IEEE
Conference_Location :
Marrakech
Print_ISBN :
978-1-4673-1457-2
Electronic_ISBN :
2165-9559
DOI :
10.1109/EDUCON.2012.6201115