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Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential
Zyad T Saleh1, Majdi Rababa2, Rami A Elshatarat3
1Department of Clinical Nursing, School of Nursing, The University of Jordan, Amman, Jordan.
Faculty perceptions of artificial intelligence (AI) chatbots in nursing education reveal that frequent users have greater awareness of benefits and limitations. Practical advantages drive adoption, necessitating a focus on showcasing utility while addressing concerns.
Area of Science:
- Nursing Education
- Artificial Intelligence in Healthcare
- Educational Technology
Background:
- Artificial intelligence (AI) chatbots are increasingly present in higher education.
- Understanding faculty perceptions is crucial for effective integration into nursing curricula.
Purpose of the Study:
- To examine nursing faculty perceptions of AI chatbots in education.
- To identify usage patterns, perceived benefits, and limitations.
- To assess factors influencing faculty adoption.
Main Methods:
- A cross-sectional survey of 474 nursing faculty from Jordan and the United States.
- Data analysis included descriptive statistics and Multivariate Analysis of Covariance.
- Examined perceptions based on AI chatbot usage frequency and faculty characteristics.
Main Results:
- 82.5% of faculty were familiar with AI chatbots.
- Benefits cited include enhanced teaching, student engagement, and access to knowledge.
- Concerns involve misinformation, reduced interaction, and ethical issues.
- Frequent users showed higher awareness of both advantages and limitations.
Conclusions:
- Hands-on experience with AI chatbots enhances faculty awareness of their capabilities and challenges.
- Perceived benefits are the primary drivers of faculty adoption.
- Institutions should highlight practical advantages and provide training to address concerns and ethical considerations.
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