How Artificial Intelligence Can Affect Physician Assistant Student Self-Efficacy When Preparing for Objective...

Area of Science:

• Medical Education
• Artificial Intelligence in Healthcare
• Health Professions Education

Background:

• Objective Structured Clinical Examinations (OSCEs) are standard for assessing clinical skills but often lower student self-efficacy compared to written tests.
• Students frequently perceive OSCEs negatively, despite anxiety not impacting performance.
• Strategies enhancing self-efficacy and confidence through preparatory resources can mitigate anxiety.

Purpose of the Study:

• To review literature on artificial intelligence (AI) effects on health care student self-efficacy for OSCEs.
• To analyze how AI tools can uniquely aid preparation for OSCE assessments.
• To identify AI's role in enhancing student confidence and clinical skills.

Main Methods:

• Literature review of studies on student self-efficacy, OSCEs, and AI in health care education.
• Analysis of current research on AI applications for student preparation.
• Synthesis of evidence on AI's impact on self-efficacy and confidence.

Main Results:

• AI-generated preparatory tools show promise in increasing student self-efficacy for OSCEs.
• Engaging with AI can lead to more self-efficacious students confident in their OSCE abilities.
• AI can help target knowledge gaps, improving clinical skills and reasoning.

Conclusions:

• AI presents a promising tool for enhancing health care student preparation for OSCEs.
• Training students to use AI for study can bolster self-efficacy and confidence.
• Familiarity with AI-driven preparation builds confidence in clinical task performance.