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Trust in AI Feedback: Challenges in Pharmacy Education.
1Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, 5230 Odense, Denmark.
Medical Science Educator
|January 20, 2026
Summary
Students showed mixed trust in artificial intelligence (AI) feedback, finding it clear but not always useful. Peer feedback remained more actionable, highlighting the need for better AI integration in pharmacy education.
Area of Science:
- Educational Technology
- Pharmacy Education
- Artificial Intelligence Applications
Background:
- Artificial intelligence (AI) is increasingly integrated into educational settings.
- Understanding student trust and the utility of AI-generated feedback is crucial for effective implementation.
- Pharmacy education can benefit from innovative feedback mechanisms to enhance learning outcomes.
Purpose of the Study:
- To evaluate master's-level pharmacy students' trust in AI-generated feedback from Microsoft Copilot.
- To compare the perceived usefulness and actionability of AI feedback versus traditional peer feedback.
- To identify student concerns regarding AI feedback quality and reliability.
Main Methods:
- A pilot study involving 36 master's students in a pharmacy course.
- Two peer-feedback sessions incorporating optional AI feedback via Microsoft Copilot.
- Survey data collection to assess student perceptions of clarity, usefulness, and relevance of feedback types.
Main Results:
- 67% of groups utilized AI feedback in the first session, decreasing to 56% in the second.
- 60% of students found AI feedback clear, but only 40% considered it useful.
- Peer feedback was consistently rated as more relevant and actionable than AI feedback.
- Students frequently expressed concerns about the trust and quality of AI-generated feedback.
Conclusions:
- AI-generated feedback in pharmacy education shows potential but requires significant improvement.
- Enhancing AI prompt design and providing student training are essential for effective integration.
- AI feedback should be developed as a complementary tool to, not a replacement for, peer feedback.
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