Abstract
The integration of artificial intelligence (AI) has become prominent in nursing education. The use of AI in nursing education includes virtual reality, AI-based simulations, virtual patients, and ChatGPT. These various uses of AI in the academic setting provide opportunities for nursing students to develop critical thinking skills, clinical reasoning, decision-making, and clinical judgment. While this may enhance student learning, and revolutionize nursing education and practice, it also presents challenges and risks. The purpose of this poster presentation is to bring to light the importance of AI in nursing education while stressing the risk that must be considered with its use.
With the climate of enhanced technology using AI, it is imperative for nurse educators to understand the various use and application of AI and equip themselves to adequately support nursing students (Montejo et al., 2024). There is a need for nurse educators to adapt AI tools into learning materials across the curriculum to promote student’s acquisition of knowledge, clinical skills, and the responsible use of technology. Potential risk and unintended consequences associated with the use of AI must be considered and included in nursing programs. This includes data privacy, algorithmic bias, ethical dilemmas, plagiarism, and academic integrity (Ahmed, 2024).
There is also a place for AI in nursing informatics which is offered by some nursing programs. The integration of AI in nursing informatics underscores the importance of data management, interoperability, and the ability to analyze and apply data-driven insights to improve learning outcomes (McBride & Tietze, 2019). Nurse informaticists can assist educators to ensure that AI tools are effectively integrated into nursing curricula, balancing technological innovations with ethical considerations, and safeguarding data privacy and security.
AI is one of the most significant advancements that provide effective learning opportunities for nursing students (Jallad et al., 2024). To provide guidance in this technological era, the American Nurses Association (2022) created a position statement that support the use of AI, but to do so with caution of inaccuracies, injustice, bias, and inequities. The use of AI is prevalent in healthcare and by integrating the proper use of AI in nursing education, students can be better prepared to utilize it in practice (Foronda, 2023).
Notes
References:
Ahmed, S. K. (2024). Artificial intelligence in nursing: Current trends, possibilities and pitfalls. Journal of Medicine, Surgery, and Public Health, 3. https://doi.org/10.1016/j.glmedi.2024.100072
American Nurses Association. (2022). The ethical use of artificial intelligence in nursing practice. https://www.nursingworld.org/globalassets/practiceandpolicy/nursing-excellence/ana-position-statements/the-ethical-use-of-artificial-intelligence-in-nursing-practice_bod-approved-12_20_22.pdf
Foronda, C., & Porter, A. (2024). Strategies to Incorporate Artificial Intelligence in Nursing
Education. Nurse Educator, 49(3), 173–174. https://doi.org/10.1097/NNE.0000000000001584
Jallad, S. T., Alsaqer, K., Albadareen, B. I., & Al-maghaireh, D. (2024). Artificial intelligence tools utilized in nursing education: Incidence and associated factors. Nurse Education Today, 142, 106355-. https://doi.org/10.1016/j.nedt.2024.106355
McBride, S., & Tietze, M. (2019). Nursing informatics for the advanced practice nurse: Patient safety, quality, outcomes, and interprofessionalism (2nd ed.). Springer Publishing. https://doi.org/10.1891/9780826140555
Montejo, L., Fenton, A., & Davis, G. (2024). Artificial intelligence (AI) applications in healthcare and considerations for nursing education. Nurse Education in Practice, 80, 104158-. https://doi.org/10.1016/j.nepr.2024.104158
Sigma Membership
Phi Nu
Type
Poster
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Other
Keywords:
Artificial Intelligence, Nursing Education, Nursing Students, Nursing Informatics, Nursing Faculty, Emerging Technologies
Recommended Citation
Sandiford, Dione and Thimmes, Sara, "Relevance and Challenges of Artificial Intelligence in Nursing Education" (2025). Biennial Convention (CONV). 29.
https://www.sigmarepository.org/convention/2025/posters_2025/29
Conference Name
48th Biennial Convention
Conference Host
Sigma Theta Tau International
Conference Location
Indianapolis, Indiana, USA
Conference Year
2025
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record. All permission requests should be directed accordingly and not to the Sigma Repository. All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Date of Issue
2025-11-26
Relevance and Challenges of Artificial Intelligence in Nursing Education
Indianapolis, Indiana, USA
The integration of artificial intelligence (AI) has become prominent in nursing education. The use of AI in nursing education includes virtual reality, AI-based simulations, virtual patients, and ChatGPT. These various uses of AI in the academic setting provide opportunities for nursing students to develop critical thinking skills, clinical reasoning, decision-making, and clinical judgment. While this may enhance student learning, and revolutionize nursing education and practice, it also presents challenges and risks. The purpose of this poster presentation is to bring to light the importance of AI in nursing education while stressing the risk that must be considered with its use.
With the climate of enhanced technology using AI, it is imperative for nurse educators to understand the various use and application of AI and equip themselves to adequately support nursing students (Montejo et al., 2024). There is a need for nurse educators to adapt AI tools into learning materials across the curriculum to promote student’s acquisition of knowledge, clinical skills, and the responsible use of technology. Potential risk and unintended consequences associated with the use of AI must be considered and included in nursing programs. This includes data privacy, algorithmic bias, ethical dilemmas, plagiarism, and academic integrity (Ahmed, 2024).
There is also a place for AI in nursing informatics which is offered by some nursing programs. The integration of AI in nursing informatics underscores the importance of data management, interoperability, and the ability to analyze and apply data-driven insights to improve learning outcomes (McBride & Tietze, 2019). Nurse informaticists can assist educators to ensure that AI tools are effectively integrated into nursing curricula, balancing technological innovations with ethical considerations, and safeguarding data privacy and security.
AI is one of the most significant advancements that provide effective learning opportunities for nursing students (Jallad et al., 2024). To provide guidance in this technological era, the American Nurses Association (2022) created a position statement that support the use of AI, but to do so with caution of inaccuracies, injustice, bias, and inequities. The use of AI is prevalent in healthcare and by integrating the proper use of AI in nursing education, students can be better prepared to utilize it in practice (Foronda, 2023).
Description
AI offers great opportunities to transform nursing education, however, there are risks and challenges that must be considered and addressed. Addressing these challenges and concerns and promoting responsible AI use, nursing students will be equipped with the knowledge and skills necessary to utilize AI in their future nursing roles. It is important for nurse educators to embrace the use of AI capabilities and integrate it in the curriculum so students can be prepared for its use in healthcare.