What does this research mean for the field?

Pharmacology practice using live experimental animals deepens students' understanding of pharmacological concepts and fosters their awareness of bioethics and medical safety. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate the educational effectiveness and bioethical awareness fostered by animal-based pharmacology laboratory sessions using quantitative text mining of student feedback.

September 3, 2026Folia Pharmacologica Japonica

Educational effects of pharmacology practice using laboratory animals: a text mining analysis of students’ free-text responses

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Authors

YHYouichirou Higashi TSTakahiro Shimizu MTMio Togo

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Overview

Text mining analysis reveals enhanced pharmacological understanding and bioethical awareness among university students, highlighting the enduring pedagogical value of laboratory animal practicals.

Key Points

To evaluate the educational effectiveness and bioethical awareness fostered by animal-based pharmacology laboratory sessions using quantitative text mining of student feedback.
Analyzed voluntary free-text responses from students participating in pharmacology laboratory practicals across the 2023 and 2024 academic years at Kochi University.
Assessed student learning across three practical animal models—guinea pig intestinal motility, rat circulatory hemodynamics, and mouse central nervous system activity—using word frequency and co-occurrence network analyses.
Term frequency analysis showed pharmacology- and drug-related terms dominated student responses in both years, with mouse behavioral observations occurring most frequently as a memorable learning event.
Numerical tracking of rat blood pressure aided comprehension of drug efficacy, whereas guinea pig experiments effectively reinforced organ-level physiological mechanisms.
Co-occurrence network analysis demonstrated that observing live physiological reactions was directly linked in student reflections to pharmacological comprehension, bioethics, and medical safety awareness.

Cite This Study

Higashi et al. (2026) studied this question.

synapsesocial.com/papers/6a9934cf636c6408cfa7c869 https://doi.org/10.1254/fpj.25097

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September 3, 2026Folia Pharmacologica Japonica

Educational effects of pharmacology practice using laboratory animals: a text mining analysis of students’ free-text responses

View Full Paper

Ask AI

Bookmark

Authors

YHYouichirou Higashi TSTakahiro Shimizu MTMio Togo

Discussion

Member takes

Overview

Text mining analysis reveals enhanced pharmacological understanding and bioethical awareness among university students, highlighting the enduring pedagogical value of laboratory animal practicals.

Key Points

To evaluate the educational effectiveness and bioethical awareness fostered by animal-based pharmacology laboratory sessions using quantitative text mining of student feedback.
Analyzed voluntary free-text responses from students participating in pharmacology laboratory practicals across the 2023 and 2024 academic years at Kochi University.
Assessed student learning across three practical animal models—guinea pig intestinal motility, rat circulatory hemodynamics, and mouse central nervous system activity—using word frequency and co-occurrence network analyses.
Term frequency analysis showed pharmacology- and drug-related terms dominated student responses in both years, with mouse behavioral observations occurring most frequently as a memorable learning event.
Numerical tracking of rat blood pressure aided comprehension of drug efficacy, whereas guinea pig experiments effectively reinforced organ-level physiological mechanisms.
Co-occurrence network analysis demonstrated that observing live physiological reactions was directly linked in student reflections to pharmacological comprehension, bioethics, and medical safety awareness.

Cite This Study

Higashi et al. (2026) studied this question.

synapsesocial.com/papers/6a9934cf636c6408cfa7c869 https://doi.org/10.1254/fpj.25097

View Full Paper

Ask AI

Bookmark