Analysis of the pass/fail results of the Pharmacist National Examination

Authors

  • Shintaro Tajiri Hokuriku University

DOI:

https://doi.org/10.52731/lir.v001.044

Keywords:

Pharmaceutical Education in Japan, National Examination, IR, Machine Learning, Random Forest

Abstract

In this poster, using the MEXT's national survey and the topic analysis of the Faculty of Pharmacy at Hokuriku University as reference, IR data were used to identify variables related to the success or failure of the national examinations.

References

MEXT, “Interim Summary of Survey on Quality Assurance of Pharmacy Education (Draft),” Study Group on Human Resource Development in Pharmaceutical Education, 2021.

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Published

2022-08-25

Issue

Vol. 1 (2022): Data Science and Institutional Research

Section

Articles