{"created":"2021-03-01T05:53:01.974285+00:00","id":1365,"links":{},"metadata":{"_buckets":{"deposit":"d9893853-b969-467c-8520-41a39ebafe34"},"_deposit":{"id":"1365","owners":[],"pid":{"revision_id":0,"type":"depid","value":"1365"},"status":"published"},"_oai":{"id":"oai:repository.nii.ac.jp:00001365","sets":["139:140:208"]},"author_link":["3694","3695","3696","2606"],"control_number":"1365","item_12_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-07-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"945","bibliographicPageStart":"944","bibliographic_titles":[{"bibliographic_title":"Proceedings of 7th International Congress on Advanced Applied Informatics（IIAI AAI 2018 [LTLE2018]）"},{"bibliographic_title":"Proceedings of 7th International Congress on Advanced Applied Informatics（IIAI AAI 2018 [LTLE2019]）","bibliographic_titleLang":"en"}]}]},"item_12_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The analysis of students' learning behaviors is important to realize adaptive and effective feedback to learners. To realize such feedback for learning job interview, in this paper, we propose to use cluster analysis of learners based on video annotations. The learners are clustered into 3 clusters, and the relationship between clusters and attributes of participants is discussed. The realization of feedback to learners is also discussed.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_12_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20736/0000001365","subitem_identifier_reg_type":"JaLC"}]},"item_12_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_12_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://doi.org/10.1109/IIAI-AAI.2018.00193"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/IIAI-AAI.2018.00193","subitem_relation_type_select":"DOI"}}]},"item_12_select_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"古川, 雅子"},{"creatorName":"フルカワ, マサコ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"3694","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"柳沼, 良知"}],"nameIdentifiers":[{"nameIdentifier":"3695","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"山田, 恒夫"}],"nameIdentifiers":[{"nameIdentifier":"3696","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"FURUKAWA, Masako","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"2606","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"Tsuneo","nameIdentifierScheme":"YAMADA"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-22"}],"displaytype":"detail","filename":"2018_MAF_003.pdf","filesize":[{"value":"883.0 kB"}],"format":"application/pdf","license_note":"(C)2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"2018_MAF_003.pdf","url":"https://repository.nii.ac.jp/record/1365/files/2018_MAF_003.pdf"},"version_id":"0f3acf74-b2f6-4a5e-9ec1-7a80ec984eea"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Cluster Analysis of Learners based on Video Annotations","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Cluster Analysis of Learners based on Video Annotations","subitem_title_language":"en"}]},"item_type_id":"12","owner":"1","path":["208"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-12-22"},"publish_date":"2020-12-22","publish_status":"0","recid":"1365","relation_version_is_last":true,"title":["Cluster Analysis of Learners based on Video Annotations"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-12-05T06:50:21.041998+00:00"}