Impact of Artificial Intelligence on Nursing Education
Marboah Kusi, Yaw Opoku; Nono Wete, Linda (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025111628146
https://urn.fi/URN:NBN:fi:amk-2025111628146
Tiivistelmä
The modern world is defined by technology with artificial intelligence (AI) taking center stage in solving problems and improving outcomes in different contexts. Recent research suggests that AI is a possible game-changer in nursing practice and education. This study investigated how AI-enhanced learning influences and enhances nursing education. The aim of this study was to review how AI enhanced education affects the knowledge advancement, retention, and clinical reasoning and competencies of learners in the nursing discipline.
The research employed a literature review method to gather data. The review followed a systematic approach of gathering articles from PubMed, Scopus, and CINAHL, Medline and ProQuest databases. The search was guided by an inclusion and exclusion criteria where peer-reviewed articles on the impact of AI on nursing education written from 2015 to date were considered. The process of selection and quality assessment of articles was done before data retrieval and extraction. The selection process was documented using a PRISMA diagram.
The findings indicated that AI-based learning aids significantly enhance theoretical knowledge in nursing by providing individualized and interactive learning experiences. AI-powered platforms employ adaptive learning methodologies including realistic simulations that provide students’ experience with scenarios they may encounter in clinical contexts.
This study will be beneficial to nurses, nursing students and educational institutions and the healthcare sector, as it gives them best practice guidelines on how to integrate AI for the best results in terms of optimizing nurses practice and learning, as well as strategies to reduce potential hazards. In addition, the review will also be beneficial for nursing students as it brings to light nursing students' positive engagement with AI in the context of learning and practice.
Keywords: Artificial intelligence, nursing students, clinical skills, knowledge
retention, nursing education, machine learning
The research employed a literature review method to gather data. The review followed a systematic approach of gathering articles from PubMed, Scopus, and CINAHL, Medline and ProQuest databases. The search was guided by an inclusion and exclusion criteria where peer-reviewed articles on the impact of AI on nursing education written from 2015 to date were considered. The process of selection and quality assessment of articles was done before data retrieval and extraction. The selection process was documented using a PRISMA diagram.
The findings indicated that AI-based learning aids significantly enhance theoretical knowledge in nursing by providing individualized and interactive learning experiences. AI-powered platforms employ adaptive learning methodologies including realistic simulations that provide students’ experience with scenarios they may encounter in clinical contexts.
This study will be beneficial to nurses, nursing students and educational institutions and the healthcare sector, as it gives them best practice guidelines on how to integrate AI for the best results in terms of optimizing nurses practice and learning, as well as strategies to reduce potential hazards. In addition, the review will also be beneficial for nursing students as it brings to light nursing students' positive engagement with AI in the context of learning and practice.
Keywords: Artificial intelligence, nursing students, clinical skills, knowledge
retention, nursing education, machine learning