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Comparative Effectiveness of Training with Simulators Versus Traditional Instruction in Veterinary Education:
Journal of Veterinary Medical Education
|April 23, 2021
Summary
Simulator training in veterinary education effectively enhances clinical skills and knowledge. This meta-analysis confirms simulators
Area of Science:
- Veterinary Medical Education
- Simulation-Based Learning
- Clinical Skills Training
Background:
- Preparing veterinary students with essential clinical skills is a significant educational challenge.
- Simulators offer a controlled environment to practice real-world phenomena, potentially improving veterinary instruction.
- The efficacy of simulator training in veterinary medicine requires further clarification.
Purpose of the Study:
- To systematically synthesize existing evidence on the effectiveness of simulator training in veterinary education.
- To establish a consensus on the impact of simulators on veterinary student learning outcomes.
- To guide curriculum integration and future research in veterinary simulation-based education.
Main Methods:
- A comprehensive systematic literature search identified 416 potential manuscripts.
- Sixty articles met inclusion criteria, with data extracted from 71 independent experiments.
- A random-effects meta-analysis was conducted to determine the overall effect size.
Main Results:
- The overall weighted mean effect size for simulator training was g = 0.49.
- Statistically significant positive effect sizes favored simulation for knowledge (d = 0.41), time (d = 0.35), process (d = 0.70), and product (d = 0.53) outcomes.
- Moderator analysis indicated that study characteristics and instructional design influenced training effectiveness.
Conclusions:
- Simulator training demonstrates effectiveness in improving knowledge and clinical skill acquisition for veterinary students.
- Findings support the integration of simulators into veterinary curricula to enhance practical skill development.
- Further research should consider identified moderating factors to optimize simulation-based veterinary education.

