{"created":"2025-06-14T02:45:40.743279+00:00","id":2000372,"links":{},"metadata":{"_buckets":{"deposit":"7db3faf1-27cc-4420-ac65-b35face94443"},"_deposit":{"created_by":25,"id":"2000372","owner":"25","owners":[25],"pid":{"revision_id":0,"type":"depid","value":"2000372"},"status":"published"},"_oai":{"id":"oai:kwmw.repo.nii.ac.jp:02000372","sets":["7:1747876464809:1747877203116"]},"author_link":[],"item_1_alternative_title_20":{"attribute_name":"item_1_alternative_title_20","attribute_value_mlt":[{"subitem_alternative_title":"Development of a ChatGPT-Based Learning Support System and Evaluation of Its Effectiveness in Learning in the Medical Information Field","subitem_alternative_title_language":"en"}]},"item_1_biblio_info_14":{"attribute_name":"bibliographic_information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2025","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"359","bibliographicPageStart":"349","bibliographicVolumeNumber":"34","bibliographic_titles":[{"bibliographic_title":"川崎医療福祉学会誌","bibliographic_titleLang":"ja"}]}]},"item_1_creator_6":{"attribute_name":"著者名(日)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大井, 悠成","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"虫明, 昌一","creatorNameLang":"ja"}]}]},"item_1_description_1":{"attribute_name":"item_1_description_1","attribute_value_mlt":[{"subitem_description":"P(論文)","subitem_description_type":"Other"}]},"item_1_description_2":{"attribute_name":"記事種別(日)","attribute_value_mlt":[{"subitem_description":"教育・実践研究","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_1_full_name_7":{"attribute_name":"著者別名","attribute_value_mlt":[{"names":[{"name":"OI, Yusei","nameLang":"en"}]},{"names":[{"name":"MUSHIAKI, Masakazu","nameLang":"en"}]}]},"item_1_identifier_registration":{"attribute_name":"identifier_registration","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.15112/0002000372","subitem_identifier_reg_type":"JaLC"}]},"item_1_publisher_23":{"attribute_name":"item_1_publisher_23","attribute_value_mlt":[{"subitem_publisher":"川崎医療福祉学会","subitem_publisher_language":"ja"}]},"item_1_source_id_13":{"attribute_name":"item_1_source_id_13","attribute_value_mlt":[{"subitem_source_identifier":"AN10375470","subitem_source_identifier_type":"NCID"}]},"item_1_source_id_19":{"attribute_name":"item_1_source_id_19","attribute_value_mlt":[{"subitem_source_identifier":"0917-4605","subitem_source_identifier_type":"PISSN"}]},"item_1_text_22":{"attribute_name":"item_1_text_22","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Kawasaki medical welfare journal"}]},"item_1_text_9":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"川崎医療福祉大学医療福祉マネジメント学部医療情報学科"},{"subitem_text_language":"ja","subitem_text_value":"川崎医療福祉大学医療福祉マネジメント学部医療情報学科"}]},"item_1_textarea_11":{"attribute_name":"item_1_textarea_11","attribute_value_mlt":[{"subitem_textarea_language":"ja","subitem_textarea_value":"大規模言語モデル（Large Language Models：LLM）の登場により，多くの分野で大きな革新がもたらされている．その代表格であるChatGPT はOpenAI が開発した自然言語処理モデルであり，対話型のチャットサービスを提供している．幅広い知識と詳細な回答能力から，医療分野の資格試験対策などの学習における活用が期待されている．しかし，医療分野の学習において，ChatGPT の回答の精度や活用法が不透明なため，不正確な情報や誤った返信が発生する確率の検証や，正しい回答を得る確率を向上させるための質問文の模索，医療分野の資格試験対策などの学習における活用法を検討する取り組みが求められる．この問題を解決するため，ChatGPT を活用した学習支援システムを開発し，今回は特に，医療情報分野の学習における有効性を検証することを目的とした．今回開発したシステムでは，ChatGPT API を利用して学生の問い合わせや要望に対して迅速な対話形式の返答を提供する機能，さらに分野ごとに回答内容を保存する辞書作成機能を実装した．このシステムは医療情報技師能力検定試験を受験する学生を対象に使用し，評価を行った．その結果，全体的に高い評価を受けたが，回答の長さや正確性に関する課題が浮き彫りになった．ChatGPT（GPT-3.5）の回答の正確性や適切性は61％であり，誤回答の約7割は学生の質問の仕方に，約3割はChatGPT のデータセットの問題に起因していた．この結果から，ChatGPT を医療情報分野の学習に活用する際には，ChatGPT における教育やユーザーガイドラインの作成，医療情報学用データセットを整備する仕組みの構築が重要であることが示唆された．"}]},"item_1_textarea_12":{"attribute_name":"item_1_textarea_12","attribute_value_mlt":[{"subitem_textarea_language":"en","subitem_textarea_value":"The emergence of Large Language Models (LLMs) has brought about major changes in many fields. ChatGPT, a natural language processing model developed by OpenAI, provides an interactive chat service. With its wide range of knowledge and detailed response capabilities, ChatGPT is expected to be used for learning in the medical field, for example, in preparation for certification exams. However, the accuracy of ChatGPT’s answers and its utilization in learning in the medical field is unclear. Therefore, we developed a ChatGPT-based learning support system, and the purpose of this study was to verify its effectiveness in learning in the medical information field. The developed system implements a function to provide quick interactive responses to students’ inquiries and requests using ChatGPT API, as well as a dictionary creation function that stores responses for each field. This system was used and evaluated for students taking the medical information Technician Proficiency Test. The results showed that the survey received high marks overall, but highlighted issues related to the length and accuracy of the responses. The accuracy and appropriateness of ChatGPT (GPT-3.5) responses were 61%, with approximately 70% of the incorrect responses due to the way students asked questions, and 30% due to problems with the ChatGPT data set. These results suggest the importance of education and user guidelines for ChatGPT users and the establishment of a system to maintain datasets for medical informatics when ChatGPT is used for learning in the medical information field."}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2025-06-14"}],"displaytype":"detail","filename":"22_大井悠成.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_note","url":{"label":"PDF","url":"https://kwmw.repo.nii.ac.jp/record/2000372/files/22_大井悠成.pdf"},"version_id":"f5cab5e1-501f-4931-b04c-34a0cf90ee24"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ChatGPT","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"medical informatics","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"educational effectiveness","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"ChatGPT API","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"item_resource_type","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"ChatGPTを活用した学習支援システムの開発と医療情報分野の学習における有効性の評価","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ChatGPTを活用した学習支援システムの開発と医療情報分野の学習における有効性の評価","subitem_title_language":"ja"}]},"item_type_id":"1","owner":"25","path":["1747877203116"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-06-14"},"publish_date":"2025-06-14","publish_status":"0","recid":"2000372","relation_version_is_last":true,"title":["ChatGPTを活用した学習支援システムの開発と医療情報分野の学習における有効性の評価"],"weko_creator_id":"25","weko_shared_id":-1},"updated":"2025-06-14T02:52:23.206850+00:00"}