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Learning Objective 1: The learner will be able to identify student perceptions related to the use of simulation in a nursing pharmacology course.
Learning Objective 2: The learner will be able to implement a strategy to measure the effectiveness of simulation within a nursing pharmacology course.
The purpose of this study is to ascertain if simulation is as effective in teaching pharmacological concepts as the didactic method. Most simulation studies measure student’s perceptions of the experience but do not measure the effectiveness of simulation. This study will measure student satisfaction, self–confidence in learning, and effectiveness of simulation in teaching pharmacological concepts.
The sample will consist of second semester baccalaureate nursing students enrolled in an undergraduate nursing pharmacology course. There are two pharmacology sections; within each section students will be randomly assigned to a simulation group or a didactic group.
The students will participate in the simulation scenario focused on care of the patient receiving anticoagulant therapy on an assigned date and time. The didactic group will receive didactic instruction on the same pharmacological concept but will not participate in the simulation exercise.
Following the simulation experience, students will complete the “Student Satisfaction and Self-Confidence in Learning” survey instrument (NLN, 2005). The survey is a 13-item Likert Scale with established reliability. It is designed to measure student satisfaction with simulation activities and self-confidence in learning.
In order to determine the level of comprehension/ effectiveness of simulation, all students will be administered a unit test with specific questions related to the care of the patient receiving anticoagulant therapy. Test items will be standardized across the two pharmacology courses by using the Test Gen test bank associated with the current text.
Upon completion of data collection, student satisfaction, self-confidence in learning, and level of comprehension will be measured and analyzed using a variety of statistical analysis.
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