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  1. 総合科学教育研究センター
  2. 福島県立医科大学総合科学教育研究センター紀要
  3. Vol.14 (2025-11-30)

Text mining of student feedback as a tool to improve medical education

https://fmu.repo.nii.ac.jp/records/2002535
https://fmu.repo.nii.ac.jp/records/2002535
ae958551-7401-4860-a67e-77fbd6ac7c27
名前 / ファイル ライセンス アクション
IcshKiyo_14_p12.pdf IcshKiyo_14_p12.pdf (720.2 KB)
Item type デフォルトアイテムタイプ(フル)fmu(1)
公開日 2025-12-04
タイトル
タイトル Text mining of student feedback as a tool to improve medical education
言語 en
作成者 瀧本, 敬慎

× 瀧本, 敬慎

en Takimoto, Takachika

ja 瀧本, 敬慎

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Nollet, Kenneth E

× Nollet, Kenneth E

en Nollet, Kenneth E

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後藤, あや

× 後藤, あや

en Goto, Aya

ja 後藤, あや

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内容記述
内容記述タイプ Abstract
内容記述 Background: As a qualitative way to evaluate the effectiveness of medical education, students may be asked to reflect and write freely about what they learned after lectures and practical training. Thereafter, teachers subjectively interpret what has been written. This process can be complemented by quantitative evaluation methods, such as text mining. Objective: To explore the potential of quantitative text analysis applied to what medical students write after completing a short, small group, bedside learning rotation at Fukushima Medical University (FMU). Methods: Free-text reflections, written by 129 students who rotated in groups of 6-8 through FMU’s Department of Blood Transfusion and Transplantation Immunology, were manually transcribed into an Excel file and quantitatively analyzed using KH-Coder, a text analysis program. Results: Text analysis revealed word choices in free-text reflections that were unique to specific genders or student groups. For example, one group used the words “earthquake,” “situation,” and “limited” in the context of “blood transfusion in a resource-limited situation during an earthquake,” while “antibody” and “check” were specific to women and men, respectively. Discussion: Frequently used words vary among student groups that rotate through the school year together, and also vary by gender. This suggests group-specific and gender-specific differences in learning that could be investigated in greater detail. Analyzing free-text student reflections with text analysis may be useful for obtaining insights to improve the curriculum in general and also tailor particular aspects of the curriculum to the needs of different students.
出版者
出版者 福島県立医科大学総合科学教育研究センター
言語
言語 eng
書誌情報 ja : 福島県立医科大学総合科学教育研究センター紀要

巻 14, p. 12-20, 発行日 2025-11-30
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
収録物識別子
収録物識別子タイプ EISSN
収録物識別子 2187-3321
主題
主題Scheme Other
主題 medical education
主題
主題Scheme Other
主題 educational assessments
主題
主題Scheme Other
主題 text mining
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