A machine learning based framework for adaptive mobile learning

Authors

Ahmed Alhmouz, University of WollongongFollow
Jun Shen, University of WollongongFollow
Jun Yan, University of WollongongFollow

RIS ID

27257

Publication Details

Al-Hmouz, A., Shen, J. & Yan, J. (2009). A machine learning based framework for adaptive mobile learning. The 8th International Conference on Web-based Learning (ICWL) 2009 (pp. 34-43). Berlin, Germany: Springer Verlag.

Abstract

Advances in wireless technology and handheld devices have created significant interest in mobile learning (m-learning) in recent years. Students nowadays are able to learn anywhere and at any time. Mobile learning environments must also cater for different user preferences and various devices with limited capability, where not all of the information is relevant and critical to each learning environment. To address this issue, this paper presents a framework that depicts the process of adapting learning content to satisfy individual learner characteristics by taking into consideration his/her learning style. We use a machine learning based algorithm for acquiring, representing, storing, reasoning and updating each learner acquired profile.