By Topic

A Mobile Learning System for Syndromic Surveillance and Diagnosis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jingyu Zhang ; Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia ; Levy, D. ; Shiping Chen

As hand-held devices become popular in society, the demand for mobility is extended to teaching and learning purposes. This paper presents the design and implementation of a mobile learning system for syndromic surveillance and diagnosis. This system can assist farmers and veterinary students to study surveillance and diagnosis of farm animal diseases in the field. In this paper, we present a mobile problem-based learning method used for designing the diagnosis learning system. We also describe our solution to the limitation of storage capacity of hand-held devices. We also present how the design is implemented as portable software that can be deployed onto a large range of mobile phones and other hand-held devices.

Published in:

Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on

Date of Conference:

5-7 July 2010