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Published on BioPortfolio: 2018-06-11T01:09:10-0400
Abstract Background and Goal of study Teaching and learning in airway management are essential in anesthetic field. Though simulation-based and problem-based learning are sophisticated lea...
Multiple studies have shown clinical simulation benefits over classical learning method. Research on simulation of airway management has focused on endotracheal intubation training, while ...
Teaching and learning of difficult airway management are considered to be an essential skill in anesthesiology. As a result, doctors and nurses in anesthesia have to be vigilant in every s...
This is a prospective, investigator-masked randomised controlled education-intervention trial of intense simulation-based surgical education plus conventional training versus a current six...
Importance: Clinical communication is an important source of medical error and preventable adverse events. Objective: To determine the effectiveness of an online learning programme for IS...
Simulation-based learning has been extensively explored, especially in baccalaureate nursing programmes. Recently, simulation-based learning has been introduced in perioperative nursing. The aim of th...
Creating simulation-based learning experiences is a process. With tools such as the 2016 INACSL Standards of Best Practice: Simulation Simulation Design and theories to guide development, nurse facult...
Experiential learning through active participation is thought to be a key benefit of simulation-based education. Recent research has challenged this assumption, suggesting that active participants lea...
Personalized learning refers to instruction in which the pace of learning and the instructional approach are optimized for the needs of each learner. With the latest advances in information technology...
Use of simulation-based learning in midwifery education programmes is crucial. Due to midwifery educators in Bangladesh were lacking competence in using such pedagogical methods in their teaching, the...
Instructional use of examples or cases to teach using problem-solving skills and critical thinking.
Process in which individuals take the initiative, in diagnosing their learning needs, formulating learning goals, identifying resources for learning, choosing and implementing learning strategies and evaluating learning outcomes (Knowles, 1975)
Experience-based techniques for problem-solving, learning, and discovery that find a solution which is not guaranteed to be optimal, but sufficient for a given set of goals.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.