Lecturer, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London.
Senior Lecturer, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London.
Br J Nurs. 2024 Sep 19;33(17):812-820. doi: 10.12968/bjon.2024.0055.
To provide insights into the optimal use of virtual reality (VR) in nursing education by evaluating pre-registration nursing students' experiences in conducting holistic patient assessments while interacting with artificial intelligence (AI)-led patients. Specifically, this project evaluation compares the use of two different VR scenarios, one employing a menu-based interface and another using AI voice-controlled technology.
Eleven pre-registration adult nursing students from two UK universities were selected through purposeful sampling to participate in the two VR simulations. Data collection and analysis: This included qualitative insights gathered from three focus group sessions, audio-recorded and thematically analysed to classify and describe students' experiences.
Four key themes emerged: technological literacy, VR as a learning tool, the road of learning, and transition to independence. Advantages across both methods of VR-AI interaction and their particular challenges were identified and described for each key theme.
VR with AI-led patient technology in pre-registration nursing education positively contributes to the curriculum by exposing students to problem-based learning situations and use of a multiplicity of skills in a safe environment. Although both methods are relevant for developing proficiencies around holistic patient assessment, there are advantages and limitations to each. Students perceived the voice-controlled technology as more intuitive with a more natural method of communication, whereas the menu-based interaction gave students more structure and guidance.
通过评估护生在与人工智能(AI)引导的患者互动时进行整体患者评估的体验,为护理教育中虚拟现实(VR)的最佳应用提供见解。具体而言,本项目评估比较了两种不同 VR 场景的使用,一种采用基于菜单的界面,另一种采用 AI 语音控制技术。
通过目的性抽样,从英国的两所大学中选择了 11 名预注册成人护理专业学生参与这两个 VR 模拟。数据收集和分析:这包括从三个焦点小组会议中收集的定性见解,这些见解被录音并进行主题分析,以对学生的体验进行分类和描述。
出现了四个关键主题:技术素养、VR 作为学习工具、学习之路和向独立过渡。为每个关键主题描述并确定了两种 VR-AI 交互方法及其各自挑战的优势。
在预注册护理教育中使用 AI 引导的患者技术的 VR 积极为课程做出贡献,通过在安全环境中使学生接触基于问题的学习情况和多种技能的使用来实现这一目标。尽管这两种方法都与整体患者评估的熟练程度相关,但每种方法都有其优点和局限性。学生认为语音控制技术更直观,沟通方式更自然,而基于菜单的交互则为学生提供了更多的结构和指导。