利用模拟数据进行系统级课程评估:综合性审查
Beth A Rogers1, Sterling Roberts, Raquel Bertiz
1About the Authors Beth A. Rogers, PhD, RN, CNE, CHSE-A, is assistant professor, College of Nursing, Texas Christian University, Fort Worth, Texas. Sterling Roberts, DNP, RN, CHSE-A, is associate professor, School of Nursing, Georgia College & State University, Milledgeville, Georgia. Raquel Bertiz, PhD, RN, CNE, CHSE-A, is senior manager, National League for Nursing Center for Innovation in Education Excellence, Washington, DC. This work represents an output of the National League for Nursing Simulation Leadership Institute. The authors acknowledge Drs. Mary Anne Rizzolo and Susan Gross Forneris for their guidance. For more information, contact Dr. Rogers at B.A.Rogers@tcu.edu.
护士教育者利用模拟数据来增强护理课程决策,识别学习者差距,并提高毕业生能力. 这种基于证据的方法完善了教育实践,以获得更大的影响力.
科学领域:
- 护理教育研究 护理教育研究
- 基于模拟的学习
- 课程开发 课程开发
背景情况:
- 由于毕业生能力下降,护理教育改革至关重要.
- 护士教育工作者需要可靠的证据来决定课程.
- 提高毕业生能力成果是一个关键目标.
研究的目的:
- 综合护士教育工作者如何使用基于模拟的评估数据.
- 了解模拟数据在课程决策中的应用.
- 探索模拟数据对护理教育的影响.
主要方法:
- 综合性审查使用惠特莫尔和Knafl的方法.
- 用关键词搜索了六个数据库:护理,模拟,数据,课程.
- 包括2006年以后发表的同行评审文章.
主要成果:
- 六项研究符合纳入标准.
- 模拟数据为识别学习者缺陷提供了信息.
- 数据被用来评估课程有效性和计划成果.
- 模拟频率和临床经验受到数据的影响.
结论:
- 模拟数据可以实时调整课程,解决学习者差距.
- 数据有助于测试课程的有效性,提高实践准备.
- 更广泛的采用可以推动护理教育的系统级变化.
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