{"created":"2025-01-19T01:31:09.260161+00:00","updated":"2025-01-19T10:54:11.324457+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231032","sets":["6504:11436:11444"]},"path":["11444"],"owner":"44499","recid":"231032","title":["教育とデータサイエンス - 機械学習を用いた成績予想とアドバイス"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"d656a90f-e188-467f-a514-79e964341ba3"},"_deposit":{"id":"231032","pid":{"type":"depid","value":"231032","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"教育とデータサイエンス - 機械学習を用いた成績予想とアドバイス","author_link":["623065"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"教育とデータサイエンス - 機械学習を用いた成績予想とアドバイス"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"福井県立高志高等学校・株式会社quelmap"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/231032/files/IPSJ-Z85-5ZM-03.pdf","label":"IPSJ-Z85-5ZM-03.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5ZM-03.pdf","filesize":[{"value":"420.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"2aa3a1aa-6bb2-48b8-8705-04065335d092","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"森本, 新太郎"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"私たちは、塾に通う、計画を立てるなど、多様な学習の習慣から、その日の気分や個人の経験から自分に合った学習スタイルを模索している。しかし、学習習慣と成績のデータの関係を機械学習を用いて分析することで、学習習慣から成績を正確に予測し、一人一人に成績の向上を見込める最適なアドバイスができるのではないかと考えた。pythonを用いて重回帰モデルを作成し、学校の学習習慣調査と成績データで学習させた。また、webアプリ上に個人の学習習慣を入力すると、成績向上が見込める改善アドバイスを提案できる仕組みを作成した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1002","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"1001","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":231032,"links":{}}