Download Architectures for Distributed and Complex M-learning by Santi Caballe, Fatos Xhafa, Thanasis Daradoumis, Angel A. PDF

By Santi Caballe, Fatos Xhafa, Thanasis Daradoumis, Angel A. Juan

ISBN-10: 1605668826

ISBN-13: 9781605668826

Over the past decade, the wishes of academic businesses were altering according to more and more complicated pedagogical versions and with the technological evolution of e-learning environments with very dynamic instructing and studying standards. Architectures for disbursed and intricate M-Learning structures: using clever applied sciences explores cutting-edge software program architectures and systems used to aid dispensed and cellular e-learning platforms. Containing learn from best overseas specialists, this complicated ebook offers important references to help studying practices for academicians, researchers, and practitioners.

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Extra info for Architectures for Distributed and Complex M-learning Systems: Applying Intelligent Technologies

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Data, information and circumstances are weighted with a certain rationale. Post-solution phase: The final phase may include reporting back to classroom, or taking a decision regarding a construction or purchase, to review the pathway to possible problem solutions and to solution execution. Knowing why a certain solution is given to a problem and not just what is the solution to the problem will contribute greatly to self-organised and self-regulated learning as well as to the development of meta-cognitive learning competences such as elaboration and solution strategies.

Statistical Results All the question codes for each teacher can be seen in the 2WaySMS web page. Through this page the teacher can see the statistical results for every question as a pie chart. In the pie chart the teacher can see how many answers were wrong, how many were right and how many students have not answered the question at the specific moment. He/she is also capable of seeing the students’names of each category (right answer, wrong answer, not answered). The statistical results page is further described below, in the section titled “Using the COLLAGE Platform”.

The world, they argue, has become the curriculum, and the individual someone “always expecting and ready to be a learner” (Kress & Pachler, 2007). Irrespectively of how one may theorise mobile learning as a cognitive, social or cultural process, it remains a fact that the use of mobile devices in formal and informal settings by both formal and informal learners, in any of the possible combinations among these, raises expectations for more and better access to learning. In this emerging landscape, the idea of mobility is often linked to experiential learning in-situ: on the field, in the museum, at the cultural site.

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Architectures for Distributed and Complex M-learning Systems: Applying Intelligent Technologies by Santi Caballe, Fatos Xhafa, Thanasis Daradoumis, Angel A. Juan


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