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Simulation-based training has been widely implemented in medical education. According to educational theories, simulation-based medical education (SBME) is associated with significant advantages, which has been investigated and proved by many studies. However, the value of SBME in comparison to other instructional methodologies remains largely unknown. Therefore, the aim of this study is to directly compare two instructional methods for neonatal resuscitation training.
Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Outcomes Assessor)
The Aim of This Study is to Investigate if Two Widely Used Instructional Methodologies Lead to Different Neonatal Resuscitation Performance.
Video-assisted learning and self-directed training, Simulation-based neonatal resuscitation training
Clinical Skills Center, Medical University of Graz
Medical University of Graz
Published on BioPortfolio: 2014-07-23T22:00:43-0400
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A controlled learning environment that closely represents reality.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.
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