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Automated Analysis of Preceptor Comments: A Pilot Study Using Sentiment Analysis to Identify Potential Student Issues

Kathryn Fuller1, Carly Lupton-Smith1, Robert Hubal1

  • 1UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.

American Journal of Pharmaceutical Education
|September 15, 2023
PubMed
Summary

A new sentiment analysis program accurately identifies pharmacy students at risk for academic progression by automatically scoring preceptor comments. This tool streamlines faculty review of qualitative feedback, enhancing educational support.

Keywords:
Experiential educationFeedbackSentiment analysisText mining

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