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Area of Science:

Nursing Education
Artificial Intelligence in Healthcare
Educational Technology

Background:

Generative artificial intelligence (AI), exemplified by ChatGPT, is increasingly accessible.
Its integration into higher education, including nursing, presents both opportunities and risks.
Nursing education requires careful consideration of AI's impact on learning and practice.

Purpose of the Study:

To examine the potential benefits of generative AI in nursing education.
To identify the challenges associated with using generative AI in nursing programs.
To provide recommendations for the responsible and effective integration of AI tools.

Main Methods:

Review of current literature and expert opinion on generative AI in education.
Analysis of potential applications in nursing pedagogy, such as simulation and personalized learning.
Identification of ethical, academic integrity, and misinformation concerns.

Main Results:

Generative AI can enhance nursing education through assignment assistance, realistic patient scenarios, and personalized learning.
Significant challenges include academic integrity issues, plagiarism, copyright concerns, ethical dilemmas, and the spread of misinformation.
Effective strategies require institutional guidelines, student education, and AI-detection tools.

Conclusions:

Nurse educators should proactively and responsibly adopt generative AI to improve learning outcomes and efficiency.
Strategic implementation, coupled with robust policies, is essential to mitigate risks.
The thoughtful integration of AI holds significant promise for the future of nursing education.