Personalised mobile learning system based on item response theory

Rapid advancements in the design and integration of mobile devices and networked
technologies in day to day activities are creating new perceptions about the exploitation of mobile
technologies in teaching and learning. Consequently, there is growing demand for personalised,
efficient and flexible systems for supporting learning in various settings. However, fulfilling learner
demand for personalised support requires better understanding of activities, operational contexts and
purposes for which mobile devices are deployed to support learning. Therefore, our position with
regards to methods for researching mobile learning focuses on personalised learning. This paper
presents an approach to designing a personalised learning system by analysing the ability of the
learner based on Items Response Theory. Furthermore, in the proposed system user profile is
modelled based on profile ontology.

Citation:
Yarandi, M., Jahankhani, M., Dastbaz, M. and Tawil, A., (2011) "Personalised mobile learning system based on item response theory" Advances in Computing and Technology, University of East London, January 2011, 108-115.