Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, United Kingdom.
School of Health in Social Science, The University of Edinburgh, Edinburgh, United Kingdom.
Nurse Educ Pract. 2023 May;69:103635. doi: 10.1016/j.nepr.2023.103635. Epub 2023 Apr 12.
AIMS /OBJECTIVES: To identify and synthesise theories that support the design and delivery of digital learning interventions in nursing and midwifery education.
A range of educational and other theories are used to support nursing and midwifery education, including when e-learning interventions are being designed and delivered. However, there is a limited understanding of how theory is applied across the wide range of digital learning interventions to inform pedagogical research and practice.
A systematic review.
CINAHL, ERIC, MEDLINE and PubMed were searched using key terms. Studies were screened by independent reviewers checking the title, abstract and full text against eligibility criteria. Due to the theoretical focus of the review, critical appraisal was not undertaken. Data were extracted and synthesised using a descriptive approach.
Thirty-four studies were included. Twenty theories were identified from a range of scientific disciplines, with the Technology Acceptance Model and Theory of Self-Efficacy employed most often. Theoretical frameworks were used to inform and explain how the digital learning interventions were designed or implemented in nursing and midwifery education. The sample were mainly undergraduate nursing students and the digital learning interventions encompassed animation, blended approaches, general technologies, mobile, online, virtual simulation and virtual reality applications which were used mainly in university settings.
This systematic review found a range of theories that support the design and delivery on digital learning interventions in nursing and midwifery education. While a single theory, the Technology Acceptance Model, tended to dominate the literature, the evidence base is peppered with numerous theoretical models that need to be examined more rigorously to ascertain their utility in improving the design or implementation of digital forms of learning to improve pedagogical research and practice in nursing and midwifery.
识别和综合支持护理和助产学教育中数字学习干预措施的设计和实施的理论。
一系列教育和其他理论被用于支持护理和助产学教育,包括在设计和实施电子学习干预措施时。然而,对于如何在广泛的数字学习干预措施中应用理论以告知教学研究和实践,我们的理解有限。
系统综述。
使用关键词在 CINAHL、ERIC、MEDLINE 和 PubMed 中进行搜索。研究由独立审查员根据资格标准检查标题、摘要和全文进行筛选。由于综述的理论重点,没有进行批判性评价。使用描述性方法提取和综合数据。
共纳入 34 项研究。从各种科学学科中确定了 20 个理论,其中最常使用的是技术接受模型和自我效能理论。理论框架用于告知和解释数字学习干预措施在护理和助产学教育中的设计或实施方式。样本主要是本科护理学生,数字学习干预措施涵盖动画、混合方法、一般技术、移动、在线、虚拟模拟和虚拟现实应用,主要用于大学环境。
本系统综述发现了一系列支持护理和助产学教育中数字学习干预措施的设计和实施的理论。虽然技术接受模型这一单一理论在文献中占主导地位,但证据基础中还存在许多理论模型,需要更严格地检查它们在提高数字学习形式设计或实施方面的效用,以改善护理和助产学的教学研究和实践。