Using presentations in an m-Learning environment enables delivery of rich content to a mobile phone learner. This study investigated how to prepare and stream presentations from a desktop computer to a mobile phone in near-realtime. It also addressed communication between users using interactive text chat in the same environment. Our analysis of text/podcast-based m-Learning applications revealed limited interactivity and lack of diversity in content streamed. To address this, we developed a mobile-based application that uses a task-timer model to synchronize with a server every n units of time to enable near-realtime streaming of presentation slides between mobile and desktop users. The application included text-based instant messenger. Laboratory experiments investigated the use OpenOffice and PowerPoint presentations and techniques used to convert these presentations into mobile phone compatible formats. Experiments were carried out with smart mobile phones running on a third generation cellular network. We employed transaction-logging techniques in addition to automated image analysis techniques to observe and record data. Analysis of the results revealed using presentations enabled more rich content than text-based models such as short message service-based frameworks and podcasts. Although m-Learning is not yet widely adopted, applications such as the one developed in the study offer high hopes for m-Learning because of the use of rich content and interactivity between users.

Using presentations in an m-Learning environment enables delivery of rich content to a mobile phone learner. This study investigated how to prepare and stream presentations from a desktop computer to a mobile phone in near-realtime. It also addressed communication between users using interactive text chat in the same environment. Our analysis of text/podcast-based m-Learning applications revealed limited interactivity and lack of diversity in content streamed. To address this, we developed a mobile-based application that uses a task-timer model to synchronize with a server every n units of time to enable near-realtime streaming of presentation slides between mobile and desktop users. The application included text-based instant messenger. Laboratory experiments investigated the use OpenOffice and PowerPoint presentations and techniques used to convert these presentations into mobile phone compatible formats. Experiments were carried out with smart mobile phones running on a third generation cellular network. We employed transaction-logging techniques in addition to automated image analysis techniques to observe and record data. Analysis of the results revealed using presentations enabled more rich content than text-based models such as short message service-based frameworks and podcasts. Although m-Learning is not yet widely adopted, applications such as the one developed in the study offer high hopes for m-Learning because of the use of rich content and interactivity between users.

Masters of Science / Using presentations in an m-Learning environment enables delivery of rich content to a mobile phone learner. This study investigated how to prepare and stream presentations from a desktop computer to a mobile phone in near-realtime. It also addressed communication between users using interactive text chat in the same environment. Our analysis of text/podcast-based m-Learning applications revealed limited interactivity and lack of diversity in content streamed. To address this, we developed a mobile-based application that uses a task-timer model to synchronize with a server every n units of time to enable near-real time streaming of presentation slides between mobile and desktop users. The application included text-based instant messenger. Laboratory experiments investigated the use Open Office and PowerPoint presentations and techniques used to convert these presentations into mobile phone compatible formats. Experiments were carried out with smart mobile phones running on a third generation cellular network. We employed transaction-logging techniques in addition to automated image analysis techniques to observe and record data. Analysis of the results revealed using presentations enabled more rich content than text-based models such as short message service-based frameworks and podcasts. Although m-Learning is not yet widely adopted, applications such as the one developed in the study offer high hopes for m-Learning because of the use of rich content and interactivity between users. / South Africa

This thesis deals with remote access to mobile devices with the Android system and their remote control possibilities. The aim was to create the interface for mobile devices remote control by remote desktop and also for changing mobile device's settings remotely. I focused on the utility of remote control for assistance in mobile devices usage. The solution was to create an application with the control interface, then application being controlled, and the server enabling communication between them. The server has been created with use of the Node.js technology. Socket.io library has been used for enabling communication between applications in real time. The remote desktop utilizes sending of screenshots and its clicks coordinates. These clicks on the remote device are executed by hidden API. Remote settings change uses API of Android SDK. It has been managed to develop the system that enable the control of the Android device and also to change its settings, both remotely.