The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We are facing promising developments in the area of mobile services where context-aware systems can take the location and position of a user, her preferences and `smart' objects into account, adding (implicit) interaction between a mobile device (of the user) and the real world. The assimilation of ubiquitous computing by education marks an important step forward, as being pervasive and persistent...
As handheld computing initiatives continue to proliferate, the portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. This paper proposes a ubiquitous e-learning environment that can be used to provide customized learning. It utilizes a set of interacting intelligent agents that can...
This study proposed the concepts, architecture, and kernel of a GroupNet system to construct a more flexible ubiquitous learning environment. GroupNet is aiming to support small-group face-to-face learning activities anywhere and anytime without sticking in traditional classroom settings and additional infrastructures. We have also implemented the application programming interface (API) for accessing...
In the comprehensive process of lifetime learning, the introduction of m-learning systems, services and applications represents one of the main challenges in the area of ubiquitous computing (ubicomp). With the rapid development of mobile devices, the widespread provision of connectivity, as well as well-modeled learning services, all presumptions for effective m-learning implementations are fulfilled...
This paper proposes a learning sequencing prediction system which applies the caching concept to improve the efficiency for ubiquitous learning and overcome the problems encountered in the usage of mobile devices as learning platforms. Two of the main problems are considered. First, the impermanent network environment due to insufficient coverage or wireless link failure leads to the continuous interruptions...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.