Artificial Intelligence for Nursing Education
(First Edition)
Email Me When Ready
This title is currently in production. Click the Email Me When Ready button to be notified as soon as it's available for purchase.
For pricing and adoption availability, contact adopt@cognella.com
Bookstore Managers: contact orders@cognella.com to place an order
Artificial Intelligence for Nursing Education introduces essential AI concepts, offers foundational knowledge, and outlines actionable strategies for responsible, evidence-based adoption within the field of nursing education and clinical practice. It addresses the growing demand for AI literacy among nurse educators and prepares students for a healthcare environment in which digital competence and clinical skills are closely connected.
The book opens with an explanation of AI's relevance to nursing education and the need for digital fluency. It then covers fundamental and advanced AI concepts, including machine learning and natural language processing, supported by case studies and institutional examples. Subsequent chapters provide frameworks and principles for integrating AI into teaching, learning, and evaluation. The final sections address workforce readiness, ethical considerations, legal implications, and global perspectives. Key themes throughout include AI foundations, technology applications, pedagogical approaches, ethical and social implications, and future trends.
Artificial Intelligence for Nursing Education is ideal for nursing courses, health informatics programs, and curriculum development seminars. As a primer for the field, it equips every nurse educator to lead responsible AI integration.
The book opens with an explanation of AI's relevance to nursing education and the need for digital fluency. It then covers fundamental and advanced AI concepts, including machine learning and natural language processing, supported by case studies and institutional examples. Subsequent chapters provide frameworks and principles for integrating AI into teaching, learning, and evaluation. The final sections address workforce readiness, ethical considerations, legal implications, and global perspectives. Key themes throughout include AI foundations, technology applications, pedagogical approaches, ethical and social implications, and future trends.
Artificial Intelligence for Nursing Education is ideal for nursing courses, health informatics programs, and curriculum development seminars. As a primer for the field, it equips every nurse educator to lead responsible AI integration.
Cheryl A. Fisher is an associate professor and specialty co-director of the nursing informatics master’s and certificate programs at the University of Maryland School of Nursing.
Charlotte Seckman is a professor and specialty co-director of the nursing informatics master’s and certificate programs at the University of Maryland School of Nursing.
Cory Stephens is an assistant professor of nursing informatics at the University of Maryland School of Nursing.
Arpad Kelemen is a professor of nursing informatics and computer science at the University of Maryland School of Nursing.
Formats and Bulk Order Pricing for Confirmed Adoptions
Higher Education Bookstore Pricing — These suggested retail prices include a total projected mark-up of 25% |
||
| See more options | ||
