Architectures for Distributed and Complex M-Learning Systems: Applying Intelligent Technologies

Architectures for Distributed and Complex M-Learning Systems: Applying Intelligent Technologies

Santi Caballé (Open University of Catalonia, Spain), Fatos Xhafa (Open University of Catalonia, Spain), Thanasis Daradoumis (Open University of Catalonia, Spain) and Angel A. Juan (Open University of Catalonia, Spain)
Release Date: October, 2009|Copyright: © 2010 |Pages: 436
DOI: 10.4018/978-1-60566-882-6
ISBN13: 9781605668826|ISBN10: 1605668826|EISBN13: 9781605668833
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Description & Coverage
Description:

Over the last decade, the needs of educational organizations have been changing in accordance with increasingly complex pedagogical models and with the technological evolution of e-learning environments with very dynamic teaching and learning requirements.

Architectures for Distributed and Complex M-Learning Systems: Applying Intelligent Technologies explores state-of-the-art software architectures and platforms used to support distributed and mobile e-learning systems. Containing research from leading international experts, this advanced publication provides useful references to support learning practices for academicians, researchers, and practitioners.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adaptivity for mobile learning
  • Content Management
  • E-learning service platform
  • Events in mobile learning
  • Game based learning
  • Independent mobile learning
  • Intelligent m-learning frameworks
  • Mobile Web 2.0
  • Mobilized learning environment
  • Ubiquity in mobile learning
Reviews & Statements

This book presents solid architectural solutions for the development and adoption of the next generation of mobile learning systems in terms of non-functional requirements, such as scalability, flexibility, availability, security, interoperability, and the integration of different, heterogeneous, and legacy learning systems.

– Santi Caballé, Open University of Catalonia, Spain
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Editor/Author Biographies
Santi Caballé (scaballe@uoc.edu) has a PhD, master’s degree and bachelor’s degree in computer science from the Open University of Catalonia (Spain). He is an associate professor and a researcher in the Department of Computer Sciences, Multimedia and Telecommunication of the Open University of Catalonia, where he coordinates several online courses in the areas of software engineering, computer supported collaborative learning and information systems. His research focuses on e-learning and computer-supported collaborative learning, software engineering, and distributed and grid technologies.
Fatos Xhafa (fatos.xhafa@gmail.com) received his PhD in computer science from the Polytechnic University of Catalonia (Spain), where he currently is an associate professor in the Department of Languages and Informatics Systems. His research interests include parallel algorithms, combinatorial optimization, approximation and meta-heuristics, distributed programming, and grid and P2P computing. He has published in leading international journals and has served on the organizing committees of many conferences and workshops. He is also a member of the editorial board of several international journals including the International Journal of Computer-Supported Collaborative Learning, Grid and Utility Computing and Autonomic Computing.
Thanasis Daradoumis (adaradoumis@uoc.edu) holds a PhD in computer science from the Polytechnic University of Catalonia (Spain), a master’s degree in computer science from the University of Illinois (USA), and a bachelor’s degree in mathematics from the University of Thessaloniki (Greece). He is an associate professor in the Department of Computer Sciences, Multimedia & Telecommunication at the Open University of Catalonia. His research focuses on e-learning and network technologies, Web-based instruction and evaluation, distributed and adaptive learning, CSCL, CSCW, interaction analysis, and grid technologies. He is co-director of the DPCS Research Laboratory.
Angel A. Juan (ajuanp@gmail.com) is an associate professor of simulation and data analysis in the computer sciences department at the Open University of Catalonia (Spain). He is also a lecturer at the Technical University of Catalonia. He holds a PhD in industrial engineering (UNED), an MS in information technology (Open University of Catalonia), and an MS in applied computational mathematics (University of Valencia). His research interests include computer simulation, applied data analysis, and mathematical e-learning. He has published several papers in international journals, books, and proceedings regarding these fields. As a researcher, he has been involved in several international research projects.
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