AIMC Topic: Faculty, Nursing

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Preparing Doctoral Nurse Leaders to Champion Artificial Intelligence in Nursing Education.

Journal of doctoral nursing practice
Artificial intelligence (AI) presents transformative opportunities in nursing education, particularly in Doctor of Nursing Practice (DNP) programs, where preparing graduates for technology-enhanced clinical practice is essential. However, faculty fa...

Embracing AI in academia: A mixed methods study of nursing students' and educators' perspectives on using ChatGPT.

PloS one
BACKGROUND: The integration of artificial intelligence (AI) tools such as ChatGPT is reshaping academic practice, particularly in nursing education. Understanding how nursing students and educators perceive and interact with ChatGPT is essential for ...

Nurse Educators' Perceptions of the Use of Artificial Intelligence: A Qualitative Study.

The Journal of nursing education
BACKGROUND: The integration of generative artificial intelligence (GAI) into nursing education raises concerns owing to nursing's strong emphasis on human-centered care. This study explored novice nurse educators' perceptions of GAI in nursing educat...

The impact of ChatGPT on nursing education: A qualitative study based on the experiences of faculty members.

Nurse education today
BACKGROUND: Recent advancements in artificial intelligence technologies particularly ChatGPT have supported learning and fostered critical thinking in nursing education. However, integrating these tools into academic settings requires both ethical an...

The impact of digital competence on pedagogical innovation among nurse educators: The moderating role of artificial intelligence readiness.

Nurse education in practice
AIM: To investigate the relationships between digital competence, AI readiness and pedagogical innovation among nurse educators, with a specific focus on the moderating role of AI readiness.

Nursing Student and Faculty Attitudes, Perceptions, and Behavioral Intentions of Artificial Intelligence Use in Nursing Education: An Integrative Review.

Nursing education perspectives
AIM: This integrative review critiques and synthesizes current research on nursing faculty and students' attitudes, perceptions, and behavioral intentions toward artificial intelligence (AI)-based tools in nursing education.

Prompt Engineering for Nurse Educators.

Nurse educator
BACKGROUND: The integration of generative artificial intelligence (AI) tools like OpenAI's ChatGPT into nursing education marks a transformative advance in personalized learning and interactive engagement.

The Basics of Artificial Intelligence in Nursing: Fundamentals and Recommendations for Educators.

The Journal of nursing education
BACKGROUND: Artificial intelligence (AI) offers exciting possibilities; however, AI is a double-edged sword. The adoption of this technology offers many benefits but also presents risks to academic integrity and appropriately prepared graduates. Many...

Challenges for future directions for artificial intelligence integrated nursing simulation education.

Korean journal of women health nursing
Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues...