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A Strategy for Role Assignment in Simulation Using Collaborative Cognition
The Journal of Nursing Education
|November 3, 2018
Summary
The Two-Heads-Are-Better-Than-One strategy pairs nursing students to act as one nurse, fostering collaboration and critical thinking in simulation. This innovative approach enhances prioritization and delegation skills, moving beyond traditional task division.
Area of Science:
- Nursing Education
- Simulation-Based Learning
- Healthcare Professional Training
Background:
- Traditional nursing simulation role assignment often divides tasks, hindering prioritization and delegation skills.
- Current methods assign individual roles (primary/secondary nurse) or specific tasks, leading to a 'divide and conquer' approach.
- This limits opportunities for students to develop comprehensive clinical reasoning and collaborative decision-making.
Purpose of the Study:
- To introduce an innovative educational strategy for role assignment in nursing simulation.
- To promote collaboration, prioritization, and critical thinking among nursing students.
- To offer an alternative to traditional role distribution in simulation exercises.
Main Methods:
- The 'Two-Heads-Are-Better-Than-One' strategy pairs two students to function as a single nurse.
- Students are instructed to move and act in unison, simulating a single provider's actions.
- This method necessitates joint decision-making and shared responsibility for patient care.
Main Results:
- The strategy requires paired students to actively collaborate and discuss differing opinions.
- Students must jointly formulate a plan of care for the simulated patient.
- This collaborative process inherently encourages critical thinking and shared problem-solving.
Conclusions:
- The 'Two-Heads-Are-Better-Than-One' strategy provides a unique method for assessing student critical thinking and clinical reasoning.
- This approach shifts focus from task completion to collaborative care planning.
- It offers valuable insights for educators evaluating student performance in complex simulation scenarios.
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