Using Generative AI in nursing education: Students’ perceptions

Generative Artificial Intelligence (Gen AI) has brought about a significant transformation in various societal domains, including higher education. It offers a plethora of advantages aimed at enhancing learning outcomes in higher education. This research aimed to examine the factors affecting student performance in nursing when Gen AI is employed in undergraduate nursing programs at Palestinian higher education institutions. A survey was developed based on prior studies, and data were gathered from 517 undergraduate nursing students across various Palestinian higher education institutions. The data were analyzed using Smart PLS. The results indicated that trust in AI positively influences the perceived usefulness of Gen AI and enhances student performance in nursing education. However, the study also noted that AI competencies have a negative impact on student performance. This study's contribution lies in highlighting the critical role of trust in Gen AI in enhancing perceived usefulness and learning outcomes in nursing education. One limitation of this study is its reliance on self-reported instruments, suggesting that future research should consider adopting a mixed-methods and experimental research approach.

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Publication Details

Journal
BMC Medical Education
Published
2025-07-01
DOI
https://doi.org/10.1186/s12909-025-07416-z
Citations
10
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
6.54
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article

Using Generative AI in nursing education: Students’ perceptions

Allam Mousa, Zuheir N. Khlaif, Abdallah Ahmad Alwawi, Jamil Itmazi et al.
10 citations
BMC Medical Education
Artificial Intelligence in Healthcare and Education
6.54
article

Using Generative AI in nursing education: Students’ perceptions

Allam Mousa, Zuheir N. Khlaif, Abdallah Ahmad Alwawi, Jamil Itmazi, Aidah Alkaissi, Mousa Ajouz, Nisreen Salameh
article en
10 citations

Abstract

Generative Artificial Intelligence (Gen AI) has brought about a significant transformation in various societal domains, including higher education. It offers a plethora of advantages aimed at enhancing learning outcomes in higher education. This research aimed to examine the factors affecting student performance in nursing when Gen AI is employed in undergraduate nursing programs at Palestinian higher education institutions. A survey was developed based on prior studies, and data were gathered from 517 undergraduate nursing students across various Palestinian higher education institutions. The data were analyzed using Smart PLS. The results indicated that trust in AI positively influences the perceived usefulness of Gen AI and enhances student performance in nursing education. However, the study also noted that AI competencies have a negative impact on student performance. This study's contribution lies in highlighting the critical role of trust in Gen AI in enhancing perceived usefulness and learning outcomes in nursing education. One limitation of this study is its reliance on self-reported instruments, suggesting that future research should consider adopting a mixed-methods and experimental research approach.

BMC Medical EducationVol. 25(1)
An-Najah National University (PS), Al-Quds University (PS), Palestine Ahliya University (PS), Arab American University (PS)
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare and Education
6.54
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Using Generative AI in nursing education: Students’ perceptions — Allam Mousa, Zuheir N. Khlaif, et al. · BMC Medical Education (2025) | TGRS Research Map | TGRS