{"created":"2023-07-25T10:28:20.569287+00:00","id":1116,"links":{},"metadata":{"_buckets":{"deposit":"0c2342e8-f0d3-4f72-b81d-fd644f5d3cb5"},"_deposit":{"created_by":2,"id":"1116","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"1116"},"status":"published"},"_oai":{"id":"oai:it-hiroshima.repo.nii.ac.jp:00001116","sets":["1:18:389"]},"author_link":["5316","5317"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-02","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"140","bibliographicPageStart":"137","bibliographicVolumeNumber":"54","bibliographic_titles":[{"bibliographic_title":"広島工業大学紀要. 研究編"}]}]},"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":"The author proposed a prediction method to find students with drop-out risks as early as possible\nby using the learning check testing (LCT) results, where the nearest-neighbor method was used in\nthe previous paper. If we want to build a mathematical model using a part of 2018 LCT results and\nwe want to predict 2018 end-term results using the model, it is impossible to do that in the middle\nof the term, because we will not have the final results until the end of the term. Thus, in this paper,\nwe investigated whether the proposed method was valid or not by applying the model built using\n2017 LCT data to newly obtained 2018 LCT results. Using 2017 model, the prediction accuracies and\nthe corresponding confusion matrices applying to 2018 case were almost the same as that applying\nto 2017 case. Therefore, the previously proposed method is proved to be useful.","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"広島工業大学"}]},"item_10002_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"publisher"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11599110","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13469975","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":"廣瀬, 英雄"},{"creatorName":"ヒロセ, ヒデオ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"5316","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"HIROSE, Hideo","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"5317","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-03-30"}],"displaytype":"detail","filename":"research54_137-140.pdf","filesize":[{"value":"700.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"research54_137-140.pdf","url":"https://it-hiroshima.repo.nii.ac.jp/record/1116/files/research54_137-140.pdf"},"version_id":"7030db62-b6d7-4de7-861f-8adcb88531dc"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"online testing","subitem_subject_scheme":"Other"},{"subitem_subject":"learning check testing","subitem_subject_scheme":"Other"},{"subitem_subject":"item response theory","subitem_subject_scheme":"Other"},{"subitem_subject":"drop-out","subitem_subject_scheme":"Other"}]},"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":"LCT の結果を使った期末試験の合否予測：2017LCT から作成したモデルに2018LCT を適用","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"LCT の結果を使った期末試験の合否予測：2017LCT から作成したモデルに2018LCT を適用"},{"subitem_title":"Success/Failure Prediction for Final Examination Using the LCT Results:A Model using 2017 LCT Data is Applied to 2018 LCT Data","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"2","path":["389"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-03-30"},"publish_date":"2023-03-30","publish_status":"0","recid":"1116","relation_version_is_last":true,"title":["LCT の結果を使った期末試験の合否予測：2017LCT から作成したモデルに2018LCT を適用"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-07-25T10:33:10.515596+00:00"}