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An Introduction to the Artificial Intelligence-Driven Technology Adoption in Nursing Education Conceptual Framework:
Mary Beth Maguire1, Anne White2
1Laerdal Medical, Wappingers Falls, NY 12590, USA.
Artificial Intelligence-driven educational tools significantly enhanced nursing students' knowledge of older adults. The study introduced the Artificial Intelligence-Driven Technology Adoption in Nursing Education (AID-TANE) framework to guide technology integration in nursing curricula.
Area of Science:
- Nursing Education
- Health Informatics
- Artificial Intelligence in Healthcare
Background:
- Technological advancements are transforming nursing education, necessitating systematic frameworks for integrating advanced technologies.
- There is a critical need for structured approaches to incorporate new technologies into nursing curricula effectively.
- The Artificial Intelligence-Driven Technology Adoption in Nursing Education (AID-TANE) framework was developed to address this need.
Purpose of the Study:
- To introduce and operationalize the AID-TANE framework.
- To evaluate the impact of an AI-driven educational intervention on undergraduate nursing students' knowledge and learning experiences.
- To assess the effectiveness of AI in improving understanding of geriatric care among nursing students.
Main Methods:
- A convergent mixed-methods pre/post-test pilot study design was employed.
- 160 senior-level community health nursing students participated in an AI-driven educational intervention.
- Quantitative data were collected using the Facts on Aging quiz, and qualitative data from reflective surveys; analyzed using paired-sample t-tests and content analysis.
Main Results:
- A statistically significant increase in knowledge about older adults was observed, with mean scores rising post-intervention (p < 0.001).
- Qualitative analysis revealed four key themes: communication, patience, empathy, respect for independence, and challenging stereotypes.
- AI-driven tools positively impacted students' learning experiences and knowledge acquisition regarding geriatric care.
Conclusions:
- AI-driven educational tools demonstrably improve nursing students' knowledge of older adults.
- The AID-TANE framework provides a necessary structure for integrating AI into nursing education.
- Effective integration of AI prepares nursing students for technologically advanced healthcare settings.
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