Srinivasan Muthuvenkatachalam, Venugopal Ambili, Venkatesan Latha, Kumar Rajesh
College of Nursing, All India Institute of Medical Sciences, Mangalagiri, India.
College of Nursing, All India Institute of Medical Sciences, New Delhi, India.
JMIR Nurs. 2024 Jun 13;7:e52105. doi: 10.2196/52105.
This viewpoint paper explores the pedagogical implications of artificial intelligence (AI) and AI-based chatbots such as ChatGPT in nursing education, examining their potential uses, benefits, challenges, and ethical considerations. AI and chatbots offer transformative opportunities for nursing education, such as personalized learning, simulation and practice, accessible learning, and improved efficiency. They have the potential to increase student engagement and motivation, enhance learning outcomes, and augment teacher support. However, the integration of these technologies also raises ethical considerations, such as privacy, confidentiality, and bias. The viewpoint paper provides a comprehensive overview of the current state of AI and chatbots in nursing education, offering insights into best practices and guidelines for their integration. By examining the impact of AI and ChatGPT on student learning, engagement, and teacher effectiveness and efficiency, this review aims to contribute to the ongoing discussion on the use of AI and chatbots in nursing education and provide recommendations for future research and development in the field.
这篇观点论文探讨了人工智能(AI)以及诸如ChatGPT等基于AI的聊天机器人在护理教育中的教学意义,审视了它们的潜在用途、益处、挑战以及伦理考量。人工智能和聊天机器人为护理教育带来了变革性机遇,例如个性化学习、模拟与实践、可及性学习以及提高效率。它们有潜力增强学生的参与度和积极性,提升学习成果,并增加教师支持。然而,这些技术的整合也引发了伦理考量,如隐私、保密和偏见。这篇观点论文全面概述了人工智能和聊天机器人在护理教育中的现状,为其整合的最佳实践和指导方针提供了见解。通过研究人工智能和ChatGPT对学生学习、参与度以及教师有效性和效率的影响,本综述旨在为护理教育中使用人工智能和聊天机器人的持续讨论做出贡献,并为该领域未来的研究与发展提供建议。