By Santi Caballe, Fatos Xhafa, Thanasis Daradoumis, Angel A. Juan
During the last decade, the desires of academic corporations were altering based on more and more advanced pedagogical types and with the technological evolution of e-learning environments with very dynamic educating and studying necessities. Architectures for disbursed and intricate M-Learning structures: employing clever applied sciences explores state of the art software program architectures and structures used to help dispensed and cellular e-learning platforms. Containing learn from major foreign specialists, this complex booklet presents beneficial references to aid studying practices for academicians, researchers, and practitioners.
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Additional info for Architectures for Distributed and Complex M-learning Systems: Applying Intelligent Technologies
Parts of the overall architecture of COLLAGE are a suite of web applications to visualize the learning activities and to provide reflections of the scenarios. COLLAGE utilized the GPS data from the mobile phones in the general architecture together with Application Programming Interfaces (APIs) of available Internet mapping services from Google and Yahoo Maps to create these applications. These APIs enabled live team tracking and activity summaries of the different learning summaries taking place in real time.
The latest versions of the most popular web browsers for desktop and mobile devices (such as Internet Explorer, Mobile IE, FireFox and Opera) support ASP and therefore can access the COLLAGE platform. The terminal device should provide internet access, through any wired (DSL, Cable, LAN etc) or wireless network such as GPRS, 3G or WiFi. 6kbps GSM, or 14,4 HSCSD), it is recommended to access the Internet through faster and more cost-effective networks, such as GPRS, 3G or WiFi where available. For maximum usability, it is recommended that the teachers and users who wish to upload questions or extended text should use devices equipped with a full QWERTY keyboard and minimum screen resolution of 480x640 or, even better, to use a desktop, laptop, or ultra portable PC.
Looking at advantages and disadvantages of both adaptive and adaptable systems, we have introduced an innovative concept that utilizes simple methods to achieve user-driven adaptation, and which we call auto-adaptability. This is based on the idea that users, when interacting in mixed realities, leave context and content traces. These traces are tracked for each learner or group of learners in real world space, leading to an information space which will then be mapped into the real world environment.
Architectures for Distributed and Complex M-learning Systems: Applying Intelligent Technologies by Santi Caballe, Fatos Xhafa, Thanasis Daradoumis, Angel A. Juan