{"updated":"2025-01-20T01:04:01.765200+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00190755","sets":["1:9298:9307"]},"path":["9307"],"owner":"13","recid":"190755","title":["ラーニングアナリティクス:4.マルチモーダルラーニングアナリティクス"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-08-15"},"_buckets":{"deposit":"5133b4e2-9c4b-4f1c-8a99-be899bd138b4"},"_deposit":{"id":"190755","pid":{"type":"depid","value":"190755","revision_id":0},"owners":[13],"status":"published","created_by":13},"item_title":"ラーニングアナリティクス:4.マルチモーダルラーニングアナリティクス","author_link":["437513","437512"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ラーニングアナリティクス:4.マルチモーダルラーニングアナリティクス"},{"subitem_title":"Learning Analytics:4. Multi Modal Learning Analytics","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"特集","subitem_subject_scheme":"Other"}]},"item_type_id":"1","publish_date":"2018-08-15","item_1_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学"}]},"item_1_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Waseda Univ.","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/190755/files/IPSJ-MGN590909.pdf","label":"IPSJ-MGN590909.pdf"},"date":[{"dateType":"Available","dateValue":"2020-08-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MGN590909.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"81d686d0-43bf-48a5-b1eb-850d0f9f3b8d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_1_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松居, 辰則"}],"nameIdentifiers":[{}]}]},"item_1_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"MATSUI, Tatsunori","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_1_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116625","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"article"}]},"item_1_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ラーニングアナリティクス(LA)は,LMS(Learning Management System)を通して蓄積される学習履歴,LRS(Learning Record Store)に蓄積されるハイレベルインタラクションリソースが利用されることが一般であり,学習者の知識・理解状態(認知的領域)の推定を目的とすることが多い.これ対して,学習時に取得可能な生体情報やマウス等のデバイスの動き,あるいは学習者の姿勢や表情といったデータ(ローレベルインタラクションリソース(LLI))を用いて,学習者の感情状態や集中度など心的状態(情動的領域)の推定や技能やスキル(技能運動的領域)の支援への期待が高まっている.本稿では,マルチモーダルラーニングアナリティクス(MMLA)を「単一または複数のLLIを用いて認知的領域・情動的領域・技能運動的領域に関する学習支援を行うこと」ととらえて,MMLAを志向した研究を俯瞰し,実効性の高いMMLAの実現への課題を整理する.","subitem_description_type":"Other"}]},"item_1_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"814","bibliographic_titles":[{"bibliographic_title":"情報処理"}],"bibliographicPageStart":"810","bibliographicIssueDates":{"bibliographicIssueDate":"2018-08-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"59"}]},"relation_version_is_last":true,"weko_creator_id":"13"},"created":"2025-01-19T00:56:42.380996+00:00","id":190755,"links":{}}