{"created":"2025-04-04T09:30:43.739504+00:00","id":2000167,"links":{},"metadata":{"_buckets":{"deposit":"60f71073-978f-437a-927f-1e7abe282cd4"},"_deposit":{"created_by":17,"id":"2000167","owners":[17],"pid":{"revision_id":0,"type":"depid","value":"2000167"},"status":"published"},"_oai":{"id":"oai:tachibana.repo.nii.ac.jp:02000167","sets":["1:35:1742529185433"]},"author_link":["1323"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2025-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"51","bibliographicPageEnd":"300","bibliographicPageStart":"281","bibliographic_titles":[{"bibliographic_title":"京都橘大学研究紀要","bibliographic_titleLang":"ja"},{"bibliographic_title":"Memoirs of Kyoto Tachibana University","bibliographic_titleLang":"en"}]}]},"item_10002_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In recent years, the rapid advancement of IT has heightened the significance of data science and artificial intelligence （AI）, underscoring the need for education in these fields. As society undergoes the Fourth Industrial Revolution, driven by digital transformation （DX）, the demand for IT and DX specialists, particularly data scientists capable of analyzing and leveraging big data, is escalating. However, the shortage of skilled professionals in AI and related areas remains a pressing concern. To address this, the Japanese government has implemented strategies to foster AI talent, highlighting the crucial role of data science education in universities. Despite the progress, data science education has predominantly focused on science students, with fewer practical applications available for humanities students.\nThis paper explores the implementation of data science education for humanities students through a case study of the Kyoto Tachibana University Cross-Over Problem-Solving Project, focusing on addressing the congestion issue in the university’s cafeteria. By applying social research methodologies and problem-solving frameworks, the project provided students with practical data science experience, enabling them to develop hypotheses and solutions for real-world problems. The study identifies key challenges and offers insights into improving data science education for humanities students, contributing to the broader goal of nurturing data science professionals across disciplines.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"京都橘大学研究紀要編集委員会","subitem_publisher_language":"ja"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12113214","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1883-0307","subitem_source_identifier_type":"ISSN"}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"桑, 海侠","creatorNameLang":"ja"},{"creatorName":"SANG, Haixia","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1323","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"50746542","nameIdentifierScheme":"e-Rad_Researcher","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=50746542"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","displaytype":"detail","filename":"データサイエンスを用いた学食混雑問題の事例研究　－クロスオーバー型課題解決プロジェクトの実践から－.pdf","filesize":[{"value":"7.7 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"url":"https://tachibana.repo.nii.ac.jp/record/2000167/files/データサイエンスを用いた学食混雑問題の事例研究　－クロスオーバー型課題解決プロジェクトの実践から－.pdf"},"version_id":"e632bf49-1e5f-4d82-8636-d862fc80162b"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"データサイエンスを用いた学食混雑問題の事例研究　－クロスオーバー型課題解決プロジェクトの実践から－","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"データサイエンスを用いた学食混雑問題の事例研究　－クロスオーバー型課題解決プロジェクトの実践から－","subitem_title_language":"ja"},{"subitem_title":"A Case Study on Cafeteria Congestion Using Data Science　－Practical Insights from the Crossover Problem-Solving Project－","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"17","path":["1742529185433"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-04-07"},"publish_date":"2025-04-07","publish_status":"0","recid":"2000167","relation_version_is_last":true,"title":["データサイエンスを用いた学食混雑問題の事例研究　－クロスオーバー型課題解決プロジェクトの実践から－"],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2025-04-15T02:41:42.196226+00:00"}