Abstract:
A model of Intelligent Mobile Learning System (IMLS) Using Multi-Agents has been developed and tested in the course of the project reported in this thesis. The IMLS was tailored to match the peculiarities of developing countries especially in terms of limited communications infrastructure and unsteady power supply. Mobile devices communicating over wireless networks are used to provide interaction between learners and teachers anywhere, anytime. In addition to the Multi-Agent based IMLS, a non-agent based M-learning software alternative was developed as the basis for assessing the advantages of the multi-agent model developed in this project. This multi-agent IMLS acts as template on which teachers can build learning contents and provides an authentic learning environment on which teachers can build learning contents which students can access through their mobile devices. This model when tested showed a response time that was eight times faster than its non-agent counterpart. It also showed other significant advantages over a number of other M-learning models in terms of packet data management capabilities.
