{"links":{},"id":195375,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00195375","sets":["1164:6089:9744:9745"]},"path":["9745"],"owner":"44499","recid":"195375","title":["自動選定した教学IRデータに基づくアカデミック・サクセスの予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-03-13"},"_buckets":{"deposit":"3fa879de-b103-418a-b3d7-26791bb5d15c"},"_deposit":{"id":"195375","pid":{"type":"depid","value":"195375","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"自動選定した教学IRデータに基づくアカデミック・サクセスの予測","author_link":["464949","464947","464950","464945","464948","464952","464951","464946"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自動選定した教学IRデータに基づくアカデミック・サクセスの予測"},{"subitem_title":"Prediction of Academic Success based on IR Data Selected Automatically","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2019-03-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"首都大学東京"},{"subitem_text_value":"首都大学東京"},{"subitem_text_value":"首都大学東京"},{"subitem_text_value":"東京理科大学"},{"subitem_text_value":"東北大学"},{"subitem_text_value":"国立教育政策研究所"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"首都大学東京"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Science","subitem_text_language":"en"},{"subitem_text_value":"Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"National Institute for Educational Policy Research","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/195375/files/IPSJ-CLE19027010.pdf","label":"IPSJ-CLE19027010.pdf"},"date":[{"dateType":"Available","dateValue":"2021-03-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CLE19027010.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"45"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"97a5956a-4af5-461a-8b1f-f8e013ef35b2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"近藤, 伸彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松田, 岳士"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"林, 祐司"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 雄貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松河, 秀哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"立石, 慎治"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"椿本, 弥生"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山下, 英明"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12496725","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8620","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"多くの学生が大学生活を通して何らかの学業面での成功 (アカデミック ・ サクセス,以下 AS) を収めるためには,教学 IR の観点から,個に応じた適切な指導や支援が有効であると考えられる.本稿では,AS の度合いの予測を学生の指導や支援に活用することを想定し,教学 IR データを用いた AS の予測モデリングについて提案する.本研究では,進化計算により,AS の度合いの予測に適した説明変数を教学IRデータから自動的に選択し,機械学習によって AS の度合いを高精度で予測するモデルを構築することを考える.実際の教学 IR データを用いた数値実験から,想定する AS に応じた予測モデルの構築が可能であることと,変数選択が予測性能の向上に有効であることが示唆された.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告教育学習支援情報システム(CLE)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-03-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2019-CLE-27"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:00:18.604065+00:00","updated":"2025-01-19T23:08:14.526086+00:00"}