Virtual reality with artificial intelligence-led scenarios in nursing education: a project evaluation

Abstract

AIM: 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. METHODS: 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. FINDINGS: 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. CONCLUSION: 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.