An Initial Framework for Implementing and Evaluating Probabilistic Adaptivity in Mobile Learning

Authors:
Fatma Elsayed Meawad;Geneen Stubbs
Affiliations:
University of Glamorgan;University of Glamorgan
Venue:
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Year:
2005

Citing 3
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Abstract

The needs of mobile learners change dynamically with the various requirements of their wireless environments highlighting the need for implementing adaptivity in mobile learning. This paper introduces a new approach for adapting content in a mobile environment. This approach suggests adapting the delivery of granules of supplementary learning content to mobile devices using Bayesian belief networks. We describe a framework for producing content granules and controlling the preferences of adaptivity over various probabilistic techniques. The result will be a tool for the deployment and evaluation of adaptivity in a distributed mobile learning environment.