2014
DOI: 10.3138/jvme.0213-040r1
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Design and Validation of a Computer-Aided Learning Program to Enhance Students' Ability to Recognize Lameness in the Horse

Abstract: The ability to recognize lameness in the horse is an important skill for veterinary graduates; however, opportunities to develop this skill at the undergraduate level are limited. Computer-aided learning programs (CALs) have been successful in supplementing practical skills teaching. The aim of this study was to design and validate a CAL for the teaching of equine lameness recognition (CAL1). A control CAL was designed to simulate learning by experience (CAL2). Student volunteers were randomly assigned to eith… Show more

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Cited by 4 publications
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“…When studying hindlimb lameness, critical key stimuli can be translated into typical visual signs of lameness, e.g., differences in the vertical displacement of the sacrum ( 11 ). Potential of computer-based learning tools to improve identification of lameness has been demonstrated ( 12 , 13 ), and it has been reasoned that computer-aided learning could be a complementary tool in training veterinary students ( 13 ). In a recent study, veterinary students were given a web-based learning tool showing animations of horses and tasked with classifying them as sound or lame (and, in case of lameness, to specify the limb) ( 12 ).…”
Section: Introductionmentioning
confidence: 99%
“…When studying hindlimb lameness, critical key stimuli can be translated into typical visual signs of lameness, e.g., differences in the vertical displacement of the sacrum ( 11 ). Potential of computer-based learning tools to improve identification of lameness has been demonstrated ( 12 , 13 ), and it has been reasoned that computer-aided learning could be a complementary tool in training veterinary students ( 13 ). In a recent study, veterinary students were given a web-based learning tool showing animations of horses and tasked with classifying them as sound or lame (and, in case of lameness, to specify the limb) ( 12 ).…”
Section: Introductionmentioning
confidence: 99%