{"links":{},"id":2007507,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02007507","sets":["1164:6089:1771204808315:1771204868517"]},"path":["1771204868517"],"owner":"80578","recid":"2007507","title":["生成AIを利用した小学生向けの個別学習支援システムの検討と実装"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2026-02-25"},"_buckets":{"deposit":"b6b9c7fb-2641-40ba-8b64-09b542dbfdc9"},"_deposit":{"id":"2007507","pid":{"type":"depid","value":"2007507","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"生成AIを利用した小学生向けの個別学習支援システムの検討と実装","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"生成AIを利用した小学生向けの個別学習支援システムの検討と実装","subitem_title_language":"ja"},{"subitem_title":"An individual learning support system for primary school students using generative AI","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2026-02-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工科大学大学院バイオ・情報メディア研究科メディアサイエンス専攻"},{"subitem_text_value":"東京工科大学メディア学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Bionics, Computer and Media Sciences, Tokyo University of Technology","subitem_text_language":"en"},{"subitem_text_value":"School of Media Science Tokyo University of Technology","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/2007507/files/IPSJ-CLE26048015.pdf","label":"IPSJ-CLE26048015.pdf"},"date":[{"dateType":"Available","dateValue":"2028-02-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CLE26048015.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":"77017bd6-da7e-4b7a-bc56-4e265ef2e85d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2026 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"櫛田,透馬"}]},{"creatorNames":[{"creatorName":"寺澤,卓也"}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Toma Kushida","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Takuya Terasawa","creatorNameLang":"en"}]}]},"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":"本研究は，生成AIを用いた小学生向けの学習支援において，学習者一人一人に適応した個別最適な説明生成の実現を目的としている．筆者らは，学習者の質問からトピックと疑問点を抽出し，それに基づいて説明文を生成するシステムの基盤構築を行ってきた．その結果，曖昧な質問に対しても主旨に沿った回答が生成できることが示された．先行研究で得られた課題点の解決手法として，回答生成と漢字・語彙調整の工程分割化とペルソナ情報の付与による回答の個別最適化を行い，その有効性が示された．また，ペルソナについては，Big Five法に基づくペルソナ定義を採用し，個人の性格に即したより適切な個別最適化を目指した．学習者のペルソナ情報を把握する方法として，学習者と学習システムの対話履歴を用いたペルソナ推定手法を提案した．今後実施する小学生を対象とした評価実験において，Big Five法を用いた回答生成とペルソナ推定の有効性の検証を行う．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","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":"2026-02-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"15","bibliographicVolumeNumber":"2026-CLE-48"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"created":"2026-02-17T07:04:37.413953+00:00","updated":"2026-02-17T07:04:41.475291+00:00"}