Artificial intelligence (AI) is no longer a futuristic concept; rather, it is actively reshaping how healthcare is delivered and how future nurses must be prepared. For nurse educators, this shift presents both an opportunity and a call to action. As AI becomes embedded in clinical practice, from early-warning systems that detect deterioration to generative tools that support documentation and learning, educators must reimagine how nursing students are taught, assessed, and supported. This chapter explores how AI can ease administrative burdens, personalize learning, and enable educators to focus more on mentorship and engagement. It also raises critical questions about equity, bias, and the importance of preserving human connection at the heart of nursing. With thoughtful integration, strategic foresight, and futures-oriented planning, AI can help nurse educators expand access to high-quality education, particularly in underserved regions. Rather than replacing human expertise, AI has the potential to amplify it, creating space for innovation, reflection, and more meaningful teaching. The future of nursing education depends not only on embracing technology but also on shaping it with intention, compassion, and a steadfast commitment to equity.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Future Trends in AI for Nursing Education

  • Kellie Bryant,
  • Michael J. Jabbour,
  • Delaney Wright La Rosa

摘要

Artificial intelligence (AI) is no longer a futuristic concept; rather, it is actively reshaping how healthcare is delivered and how future nurses must be prepared. For nurse educators, this shift presents both an opportunity and a call to action. As AI becomes embedded in clinical practice, from early-warning systems that detect deterioration to generative tools that support documentation and learning, educators must reimagine how nursing students are taught, assessed, and supported. This chapter explores how AI can ease administrative burdens, personalize learning, and enable educators to focus more on mentorship and engagement. It also raises critical questions about equity, bias, and the importance of preserving human connection at the heart of nursing. With thoughtful integration, strategic foresight, and futures-oriented planning, AI can help nurse educators expand access to high-quality education, particularly in underserved regions. Rather than replacing human expertise, AI has the potential to amplify it, creating space for innovation, reflection, and more meaningful teaching. The future of nursing education depends not only on embracing technology but also on shaping it with intention, compassion, and a steadfast commitment to equity.