Home // eLmL 2016, The Eighth International Conference on Mobile, Hybrid, and On-line Learning // View article

AmITest: A Testing Framework for Ambient Intelligence Learning Applications

Authors:
Nikolaos Louloudakis
Asterios Leonidis
Constantine Stephanidis

Keywords: visual programming; end-user testing; ubiquitous environments; smart learning environment; ambient intelligence testing

Abstract:
As the Ambient Intelligence (AmI) paradigm emerges and develops, applications in education are attracting increasing attention. For maximum educational efficiency, extensiveness and adaptation to the needs of their users, AmI systems in education need to be easily programmable. Considering that their users are primarily non-computer professionals, giving them the ability to program those environments is a task difficult by itself, as those environments are of high architectural and computational complexity. In addition, it is of high importance that those environments work as expected, making the testing and the validation of their behavioral aspects a crucial part of the development process. In this paper, we propose AmITest, a framework that effectively allows the testing and the validation of behavioral programs written by users in a simple, yet direct and effective way. AmITest is part of a complete end-user development suite named AmIClass, which allows the effective programming of AmI educational environments by non-computer professionals.

Pages: 76 to 82

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4367

ISBN: 978-1-61208-471-8

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016