Prompt Pattern Engineering for Test Question Mapping Using ChatGPT: A Cross-Sectional Study

This study presents a practical use case with prompt engineering tailored for college assessment or curriculum committees to facilitate efficient test questions and educational outcomes mapping.

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Institutions

Publication Details

Journal
American Journal of Pharmaceutical Education
Published
2024-08-15
DOI
https://doi.org/10.1016/j.ajpe.2024.101266
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.60
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article

Prompt Pattern Engineering for Test Question Mapping Using ChatGPT: A Cross-Sectional Study

T. Joseph Mattingly, Jennifer L Babin, Hanna Raber
5 citations
American Journal of Pharmaceutical Education
Artificial Intelligence in Healthcare and Education
0.60
article

Prompt Pattern Engineering for Test Question Mapping Using ChatGPT: A Cross-Sectional Study

T. Joseph Mattingly, Jennifer L Babin, Hanna Raber
article en
5 citations

Abstract

This study presents a practical use case with prompt engineering tailored for college assessment or curriculum committees to facilitate efficient test questions and educational outcomes mapping.

American Journal of Pharmaceutical EducationVol. 88(10)
University of Utah (US)
Openalex Percentile: Top 29%
Artificial Intelligence in Healthcare and Education
0.60
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Prompt Pattern Engineering for Test Question Mapping Using ChatGPT: A Cross-Sectional Study — T. Joseph Mattingly, Jennifer L Babin, et al. · American Journal of Pharmaceutical Education (2024) | TGRS Research Map | TGRS