Enhancing Nursing Students’ Attitudes Toward Older Adults Through an Artificial Intelligence Virtual Simulation: A Mixed-Method Design
2024

Improving Nursing Students' Views on Older Adults with AI Simulations

Sample size: 151 publication Evidence: moderate

Author Information

Author(s): Anne White, Mary Beth Maguire, Austin Brown

Primary Institution: Kennesaw State University

Hypothesis

Can an AI-driven virtual simulation improve nursing students' attitudes toward older adults?

Conclusion

Using AI technology in education can effectively improve nursing students' attitudes toward older adults.

Supporting Evidence

  • Post-intervention scores increased from pre-intervention scores.
  • Qualitative analysis revealed themes of overcoming ageism and increased empathy.
  • Students reported enhanced communication skills after the simulation.

Takeaway

This study shows that using computer simulations can help nursing students be nicer and more understanding toward older people.

Methodology

A convergent mixed-method design was used to assess changes in attitudes before and after an AI-driven educational intervention.

Potential Biases

Potential bias due to self-reported data and the non-probabilistic sampling method.

Limitations

The study was limited to a single session and did not explore long-term retention of attitude changes.

Participant Demographics

90% female, with ages primarily between 18 and 34.

Statistical Information

P-Value

0.06

Statistical Significance

p=0.06

Digital Object Identifier (DOI)

10.3390/nursrep14040279

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