{"links":{},"id":195377,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00195377","sets":["1164:6089:9744:9745"]},"path":["9745"],"owner":"44499","recid":"195377","title":["初年時全額情報基礎科目における学習データを用いたLinearSVCによる履修途中での合否予測の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-03-13"},"_buckets":{"deposit":"70bc84e2-617c-421e-bb4f-7d61d5b97120"},"_deposit":{"id":"195377","pid":{"type":"depid","value":"195377","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"初年時全額情報基礎科目における学習データを用いたLinearSVCによる履修途中での合否予測の検討","author_link":["464960","464957","464958","464959"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"初年時全額情報基礎科目における学習データを用いたLinearSVCによる履修途中での合否予測の検討"},{"subitem_title":"Investigation of pass / fail prediction by using LinearSVC for learning activities in the first year university-wide information basic course","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":"熊本大学大学院自然科学教育部"},{"subitem_text_value":"熊本大学総合情報統括センター"},{"subitem_text_value":"熊本大学総合情報統括センター"},{"subitem_text_value":"熊本大学総合情報統括センター"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kumamoto University Graduate School of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Kumamoto University Center for Management of Information Technologies","subitem_text_language":"en"},{"subitem_text_value":"Kumamoto University Center for Management of Information Technologies","subitem_text_language":"en"},{"subitem_text_value":"Kumamoto University Center for Management of Information Technologies","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/195377/files/IPSJ-CLE19027012.pdf","label":"IPSJ-CLE19027012.pdf"},"date":[{"dateType":"Available","dateValue":"2021-03-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CLE19027012.pdf","filesize":[{"value":"2.4 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":"b7e53a22-3176-45f3-8985-391f2a5cfa23","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":"森, 美樹子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"久保田, 真一郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"杉谷, 賢一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中野, 裕司"}],"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":"合格水準に達せず不合格になる学生をできるだけ少なくすることを目的とし，全学情報基礎科目における学習データから受講している学生の合否を早期に予測することについて検討する．新入生と再履修生で，学生の合否の割合が大きく異なるため，今回は新入生のみを対象に検討を行った．授業各回の出席，課題の提出，確認テスト得点をパラメータとした LinearSVC により合否の予測を行った．結果，不合格になりそうな学生を全 15 回中 4 回から 5 回の段階で再現率約 70% 程度で発見することができた．入力データの前処理，パラメータの追加などにより，より早期に予測精度を向上させることを検討する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","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":"12","bibliographicVolumeNumber":"2019-CLE-27"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:00:18.716169+00:00","updated":"2025-01-19T23:08:12.244809+00:00"}