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<p>This pilot study examined students’ trust in artificial intelligence (AI)-generated feedback using Microsoft Copilot in a master’s-level pharmacy course. Thirty-six students, divided into nine groups, participated in two peer-feedback sessions. AI feedback was optional: 67% of groups used it in the first session and 56% in the second. Survey data showed that 60% of students found AI feedback clear, but only 40% found it useful. In contrast, peer feedback was consistently rated more relevant and actionable. Many students cited trust and quality concerns. Findings support the need for improved AI prompt design, training, and integration as a complementary feedback method.</p>

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Trust in AI Feedback: Challenges in Pharmacy Education

  • 期刊论文

  • 发表日期：

    2025年6月7日

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  • Lanfranco Pellesi

摘要

This pilot study examined students’ trust in artificial intelligence (AI)-generated feedback using Microsoft Copilot in a master’s-level pharmacy course. Thirty-six students, divided into nine groups, participated in two peer-feedback sessions. AI feedback was optional: 67% of groups used it in the first session and 56% in the second. Survey data showed that 60% of students found AI feedback clear, but only 40% found it useful. In contrast, peer feedback was consistently rated more relevant and actionable. Many students cited trust and quality concerns. Findings support the need for improved AI prompt design, training, and integration as a complementary feedback method.