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Impact of Expert Commentary and Student Reflection on Veterinary Clinical Decision-Making Skills in an Innovative
Kate E Creevy1, Karen K Cornell2, Chad W Schmiedt3
1Associate Professor, Department of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas Veterinary Medical Center 4474 TAMU, College Station, TX 77843-4474 USA.
Abstract:
One challenge in veterinary education is bridging the divide between the nature of classroom examples (well-defined problem solving) and real world situations (ill-defined problem solving). Solving the latter often relies on experiential knowledge, which is difficult to impart to inexperienced students. A multidisciplinary team including veterinary specialists and learning scientists developed an interactive, e-learning case-based module in which students made critical decisions at five specific points (Decision Points [DPs]). After committing to each decision (Original Answers), students reflected on the thought processes of experts making similar decisions, and were allowed to revise their decisions (Revised Answers); both sets of answers were scored. In Phase I, performance of students trained using the module (E-Learning Group) and by lecture (Traditional Group) was compared on the course final examination. There was no difference in performance between the groups, suggesting that the e-learning module was as effective as traditional lecture for content delivery. In Phase II, differences between Original Answers and Revised Answers were evaluated for a larger group of students, all of whom used the module as the sole method of instruction. There was a significant improvement in scores between Original and Revised Answers for four out of five DPs (DP1, p =.004; DP2, p =.04; DP4, p <.001; DP5, p <.001). The authors conclude that the ability to rehearse clinical decision making through this tool, without direct individual feedback from an instructor, may facilitate students' transition from problem solving in a well-structured classroom setting to an ill-structured clinical setting.
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