Attitudes toward artificial intelligence: their association with creative self-efficacy and problem-solving ability...

Area of Science:

• Nursing Education
• Artificial Intelligence in Healthcare
• Digital Health Skills

Background:

• Assessing nursing interns' attitudes toward artificial intelligence (AI) is crucial for future healthcare integration.
• Understanding the interplay between AI attitudes, creative self-efficacy, and problem-solving skills is vital for developing effective training programs.

Purpose of the Study:

• To evaluate the levels of AI attitudes, creative self-efficacy, and problem-solving ability among final-year nursing interns in Guangxi, China.
• To explore the relationships among these variables and identify factors associated with AI attitudes in this cohort.

Main Methods:

• A cross-sectional survey was administered to 259 nursing interns using an online questionnaire.
• Data collection focused on sociodemographics, AI attitudes, creative self-efficacy, and problem-solving ability.
• Statistical analyses included correlation and multiple linear regression.

Main Results:

• Nursing interns reported moderate levels of AI attitudes (47.70±8.75), creative self-efficacy (28.56±6.20), and problem-solving ability (79.83±17.53).
• AI attitudes positively correlated with both creative self-efficacy and problem-solving ability (p<0.05).
• Gender, educational program, creative self-efficacy, and problem-solving ability were independently associated with AI attitudes.

Conclusions:

• Positive associations exist between nursing interns' AI attitudes, creative self-efficacy, and problem-solving skills.
• Educational program, gender, creative self-efficacy, and problem-solving ability are significant predictors of AI attitudes.
• Findings highlight the importance of fostering these skills to enhance AI acceptance in nursing education.