Exploring the Role and Potential of Chatbots in Learning From the Perspective of Nursing Students: A Systematic Review of Qualitative Studies

作者：Shibo Zhang, Xia Yang, Lingyun Zhang, Huarong Liu, Xiaolin Chen, Xin Yang, Yan Hu, Qin Liu, Yang He · 发表于：International Nursing Review · 年份：2025 · DOI：10.1111/inr.70060 · 被引用次数：6 · 研究领域：AI in Service Interactions、Artificial Intelligence in Healthcare and Education、Digital Mental Health Interventions

AIM: This study explores nursing students' experiences and needs regarding chatbot-assisted learning, while evaluating the opportunities and challenges they encounter. BACKGROUND: As artificial intelligence (AI) advances, chatbots are increasingly integrated into nursing education, offering real-time feedback and personalized support. While chatbots show promise in enhancing theoretical knowledge and clinical skills, little is known about students' actual experiences and expectations. Gaining insight into students' perspectives is essential for optimizing chatbots' implementation in nursing education. METHODS: This study conducts a systematic search of several electronic databases, including PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang, using search terms related to nursing students, chatbots, experiences, perceptions, and qualitative research. A thematic synthesis approach is employed to extract and analyze the relevant studies. RESULTS: Nine studies were included in this review. Thematic synthesis revealed four major themes: perceived availability, role participation, potential challenges, and student needs. Nursing students highlighted chatbots' technical and interactive availability-valuing timely responses, ease of use, and personalized support. Chatbots were seen as active participants in learning, facilitating bidirectional communication, clinical simulation, information retrieval, academic assistance, and decisi...