Institutional members access full text with Ovid®

Share this article on:

Comparative Study of Baccalaureate Nursing Student Self-Efficacy Before and After Simulation

CARDOZA, MAUREEN P. PhD, RN; HOOD, PATRICE A. DNP, ANP-BC, FNP-BC

CIN: Computers, Informatics, Nursing: March 2012 - Volume 30 - Issue 3 - p 142–147
doi: 10.1097/NCN.0b013e3182388936
Feature Article

Evaluation of learning and the development of prelicensure nursing education include an exploration of new teaching models and techniques for student learning assessment. The utilization of high-fidelity human simulation in nursing provides nursing faculty and students the opportunity to expand the boundaries of conventional learning from an instructional paradigm to a blending of modalities that enrich the student experience and provide an avenue for self-determined learning. The inception of computer-generated high-fidelity human simulation technology into the undergraduate nursing curriculum generated this correlation study, which examined two separate groups of senior baccalaureate nursing students’ reported self-efficacy for providing family-centered care. This research examined each group of students’ reported self-efficacy on the first day of the pediatric semester before and after simulation and on the last day of the pediatric semester before and after simulation. In addition, the relationship between two senior baccalaureate nursing student groups’ reported self-efficacy at four data points was examined. The concluding data identified that senior baccalaureate nursing students have unrealistic self-assessments of their clinical knowledge and nursing performance capabilities before simulation scenario participation. The perceived ability of undergraduate students to self-identify their previously acquired knowledge and transferable clinical reasoning to family-centered situations is inaccurate. Human simulators are an effective teaching and learning modality in measuring factors that affect student outcomes.

Author Affiliations: New York Institute of Technology, Old Westbury, NY.

The authors have disclosed that they have no significant relationship with, or financial interest in, any commercial companies pertaining to this article.

Corresponding author: Maureen P. Cardoza, PhD, RN, New York Institute of Technology, Northern Blvd, Old Westbury, NY 11568 (mcardoza@nyit.edu; mpcardoza@yahoo.com).

© 2012 Lippincott Williams & Wilkins, Inc.