IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Plastic Interfaces for Ubiquitous Learning

Plastic Interfaces for Ubiquitous Learning
View Sample PDF
Author(s): José Rouillard (Laboratoire LIFL - Université de Lille 1, France)
Copyright: 2010
Pages: 19
Source title: Ubiquitous and Pervasive Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Judith Symonds (AUT University, New Zealand)
DOI: 10.4018/978-1-60566-960-1.ch098

Purchase

View Plastic Interfaces for Ubiquitous Learning on the publisher's website for pricing and purchasing information.

Abstract

This chapter presents research around pervasive and ubiquitous computing, particularly oriented in the field of human learning. We are studying several solutions to deliver content over a heterogeneous networks and devices. Converting and transmitting documents across electronic networks is not sufficient. We have to deal with contents and containers simultaneously. Related work in interface adaptation and plasticity (the capacity of a user interface to withstand variations of both the system physical characteristics and the environment while preserving usability) is presented and some examples of context-aware adaptation are exposed. We present an adaptive pervasive learning environment, based on contextual QR Codes, where information is presented to learner at the appropriate time and place, and according to a particular task. This learning environment is called PerZoovasive, where learning activities take place in a zoo and are meant to enhance classroom activities.

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.
Body Bottom