Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study

Japanese physical therapy students perceived few-shot feedback more favorably than zero-shot feedback on case reports. This few-shot AI model shows potential to resist algorithm aversion and serves as an effective educational tool to support autonomous writing, facilitate reflection on clinical reasoning, and cultivate advanced thinking skills.

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Publication Details

Journal
JMIR Medical Education
Published
2025-12-18
DOI
https://doi.org/10.2196/85614
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
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article

Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study

JMIR Medical Education
Clinical Reasoning and Diagnostic Skills
article

Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study

article en

Abstract

Japanese physical therapy students perceived few-shot feedback more favorably than zero-shot feedback on case reports. This few-shot AI model shows potential to resist algorithm aversion and serves as an effective educational tool to support autonomous writing, facilitate reflection on clinical reasoning, and cultivate advanced thinking skills.

JMIR Medical EducationVol. 11
Tokyo Gakugei University (JP)
Quality Education
Openalex Percentile: Top 30%
Clinical Reasoning and Diagnostic Skills
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Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study · JMIR Medical Education (2025) | TGRS Research Map | TGRS