ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. COGNITION & REHABILITATION
  2. Vol.4 (2023.12)

2023 Japanese national examination for rehabilitation professionals and Chat GPT: Chat GPT passed the national examination for speech-language-hearing therapists.

https://doi.org/10.69202/0002000002
https://doi.org/10.69202/0002000002
acec083c-ab09-483b-9e24-34aed635d8c7
名前 / ファイル ライセンス アクション
p09-15_Masatoshi p09-15_Masatoshi TAKEDA.pdf (676 KB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2023-12-14
タイトル
タイトル 2023 Japanese national examination for rehabilitation professionals and Chat GPT: Chat GPT passed the national examination for speech-language-hearing therapists.
言語 en
キーワード
主題Scheme Other
主題 AI
キーワード
主題Scheme Other
主題 Chat GPT
キーワード
主題Scheme Other
主題 national examination
キーワード
主題Scheme Other
主題 occupational therapist
キーワード
主題Scheme Other
主題 physical therapist
キーワード
主題Scheme Other
主題 rehabilitation professionals
キーワード
主題Scheme Other
主題 speech-language-hearing therapist
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 article
ID登録
ID登録 10.69202/0002000002
ID登録タイプ JaLC
内容種別
内容記述タイプ Other
内容記述 Original Article
著者 Masatoshi TAKEDA

× Masatoshi TAKEDA

en Masatoshi TAKEDA

Search repository
Kayo MATSUO

× Kayo MATSUO

en Kayo MATSUO

Search repository
Yukito UEDA

× Yukito UEDA

en Yukito UEDA

Search repository
Yasuko TAKAHASHI

× Yasuko TAKAHASHI

en Yasuko TAKAHASHI

Search repository
Yoshimi TSUKAMOTO

× Yoshimi TSUKAMOTO

en Yoshimi TSUKAMOTO

Search repository
Aoi ASHIZUKA

× Aoi ASHIZUKA

en Aoi ASHIZUKA

Search repository
Hidetsugu WADA

× Hidetsugu WADA

en Hidetsugu WADA

Search repository
Ryohei KONO

× Ryohei KONO

en Ryohei KONO

Search repository
Hirotoshi UTSUNOMIYA

× Hirotoshi UTSUNOMIYA

en Hirotoshi UTSUNOMIYA

Search repository
Kazuki NOMURA

× Kazuki NOMURA

en Kazuki NOMURA

Search repository
Kunihiro UMAYAHARA

× Kunihiro UMAYAHARA

en Kunihiro UMAYAHARA

Search repository
抄録
内容記述タイプ Abstract
内容記述 Background: The use of Chat GPT is rapidly expanding in Japanese society,and the educational community is considering appropriate uses of it. The medical education sector, including training schools for rehabilitation
professionals, is also actively engaged in discussion of effective ways to use Chat GPT. The 25th National Examination for Speech Therapists and the 58th National Examination for Physical Therapists and Occupational Therapists were held in February 2023. The pass rates of Speech, Physical, and Occupational therapists were 67.4%, 87.4%, and 83.8%, respectively. Analysis of the results of answers by Chat GPT compared with those by actual students will hopefully facilitate discussion of how to use Chat GPT in the education of rehabilitation professionals.
Methods: We used Chat GPT 3.5 to answer the questions from the 25th National Examination for Speech Therapists, which had the lowest pass rate among the three exams for rehabilitation specialists, and because it was mainly based on language-based questions and not heavily affected by the use of figures and charts.
Results: Chat GPT had a 66% correct answer rate, which was above the level to pass the examinations. The scores were purely based on understanding of language-based questions, but Chat GPT had a comparable
ability to our students in correctly answering questions from the exam.
Conclusions: This study is the first to show that Chat GPT has the capability to pass a national medical examination. AI is still in relative infancy, but our results show that there is wide potential for academic and education
application beyond clerical work. Further studies will seek to elucidate more precise potential use in academic settings.
言語 en
書誌情報 en : COGNITION & REHABILITATION

巻 4, 号 1, p. 9-15, ページ数 7, 発行日 2023-11-30
出版者
出版者 Osaka Kawasaki Rehabilitation University
言語 en
ISSN
収録物識別子タイプ PISSN
収録物識別子 2436-1097
戻る
0
views
See details
Views

Versions

Ver.1 2023-12-14 06:26:28.313717
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3