The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Ubiquitous Multi-Agent Context-Aware System for Enhancing Teaching-Learning Processes Adapted to Student Profile
Abstract
The need for ubiquitous systems that allow access to computer systems from anywhere at anytime and the massive use of the Internet has prompted the creation of e-learning systems that can be accessed from mobile smart phones, PDA, or tablets, taking advantage of the current growth of mobile technologies. The aim of this chapter is to present the advantages brought by the integration of ubiquitous computing-oriented along with distributed artificial intelligence techniques in order to build student-centered context-aware learning systems. Based on this model, the authors propose a multi-agent context-aware u-learning system that offers several functionalities such as context-aware learning planning, personalized course evaluation, selection of learning objects according to student’s profile, search of learning objects in repository federations, search of thematic learning assistants, and access of current context-aware collaborative learning activities involved. Finally, the authors present some solutions considering the functionalities that a u-learning multi-agent context-aware system should exhibit.
Related Content
|
Bin Guo, Yunji Liang, Zhu Wang, Zhiwen Yu, Daqing Zhang, Xingshe Zhou.
© 2014.
20 pages.
|
|
Yunji Liang, Xingshe Zhou, Bin Guo, Zhiwen Yu.
© 2014.
31 pages.
|
|
Igor Bisio, Alessandro Delfino, Fabio Lavagetto, Mario Marchese.
© 2014.
33 pages.
|
|
Kobkaew Opasjumruskit, Jesús Expósito, Birgitta König-Ries, Andreas Nauerz, Martin Welsch.
© 2014.
22 pages.
|
|
Viktoriya Degeler, Alexander Lazovik.
© 2014.
23 pages.
|
|
Vlasios Kasapakis, Damianos Gavalas.
© 2014.
26 pages.
|
|
Zhu Wang, Xingshe Zhou, Daqing Zhang, Bin Guo, Zhiwen Yu.
© 2014.
18 pages.
|
|
|