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Advanced Learning Technologies, IEEE International Conference on (2010)
Sousse, Sousse Tunisia
July 5, 2010 to July 7, 2010
ISBN: 978-0-7695-4055-9
pp: 48-52
ABSTRACT
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.
INDEX TERMS
mobile workplace learning, Naïve Bayes, mobile databases, Holey Brick
CITATION

J. Zhang, D. Levy and S. Chen, "A Mobile Learning System for Syndromic Surveillance and Diagnosis," 2010 IEEE 10th International Conference on Advanced Learning Technologies (ICALT 2010)(ICALT), Sousse, 2010, pp. 48-52.
doi:10.1109/ICALT.2010.20
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