Artificial intelligence-based technology in communication training in nursing education: A scoping review

Area of Science:

• Nursing Education
• Artificial Intelligence
• Communication Skills Training

Background:

• Advanced natural language processing in AI offers personalized communication training.
• Communication skills are vital in nursing education.
• Limited information exists on AI applications in nursing communication training.

Purpose of the Study:

• To map and synthesize literature on AI applications in nursing communication skills training.
• To explore learning and teaching experiences with AI in nursing education.

Main Methods:

• Scoping review of literature from January 2003 to June 2023.
• Searches conducted across five databases.
• Utilized the PAGER framework for data collation and reporting.

Main Results:

• Four articles were included, reporting mixed student learning experiences and minimal teacher experiences.
• Learning outcomes encompassed self-efficacy, communication skills, knowledge, and attitude.
• Identified barriers included cultural, social, technical, and logistical challenges.
• AI training provided instant feedback, professional guidance, and psychological safety.

Conclusions:

• AI application in nursing communication training shows potential but has mixed results.
• Student learning experiences were varied; teaching experiences were underreported.
• Learning outcomes were inconclusive, necessitating further investigation.
• Recommendations include more robust studies involving diverse stakeholders.