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Using Generative AI in nursing education: Students' perceptions.
Zuheir N Khlaif1, Nisreen Salameh2, Mousa Ajouz3
1Faculty of Humanities and Educational Sciences, An Najah National University, Nablus, Occupied Palestinian Territory, Palestine. zkhlaif@najah.edu.
BMC Medical Education
|July 2, 2025
Summary
Trust in Generative Artificial Intelligence (Gen AI) boosts its usefulness and student performance in nursing education. However, AI competencies negatively impacted performance.
Area of Science:
- Nursing Education
- Artificial Intelligence in Higher Education
Background:
- Generative Artificial Intelligence (Gen AI) is transforming higher education.
- Gen AI offers potential benefits for enhancing learning outcomes.
Purpose of the Study:
- To examine factors influencing student performance in undergraduate nursing programs using Gen AI in Palestinian higher education.
- To investigate the impact of trust and AI competencies on Gen AI's perceived usefulness and student performance.
Main Methods:
- Survey data collected from 517 undergraduate nursing students.
- Data analyzed using Smart PLS statistical software.
Main Results:
- Trust in AI positively influenced the perceived usefulness of Gen AI and student performance.
- AI competencies showed a negative impact on student performance in nursing education.
Conclusions:
- Trust in Gen AI is crucial for enhancing its perceived usefulness and improving learning outcomes in nursing education.
- Future research should explore mixed-methods and experimental designs due to reliance on self-reported data.
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