{"created":"2022-05-25T07:40:23.941359+00:00","id":2000235,"links":{},"metadata":{"_buckets":{"deposit":"cc0dea45-cb20-4e57-9c63-46afc1a8bc76"},"_deposit":{"created_by":15,"id":"2000235","owner":"15","owners":[15],"owners_ext":{"displayname":"北見工業大学学術機関リポジトリ（KIT-R）","username":"kitir"},"pid":{"revision_id":0,"type":"depid","value":"2000235"},"status":"published"},"_oai":{"id":"oai:kitami-it.repo.nii.ac.jp:02000235","sets":["1:87"]},"author_link":[],"item_1646810750418":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_3_biblio_info_186":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicNumberOfPages":"14","bibliographicPageStart":"228","bibliographicVolumeNumber":"9","bibliographic_titles":[{"bibliographic_title":"Education Sciences","bibliographic_titleLang":"en"}]}]},"item_3_description_184":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This article addresses some fundamental issues of concept mapping relevant to\ndiscipline-based education. The focus is on manufacturing knowledge representation from the\nviewpoints of both human and machine learning. The concept of new-generation manufacturing\n(Industry 4.0, smart manufacturing, and connected factory) necessitates learning factory (human\nlearning) and human-cyber-physical systems (machine learning). Both learning factory and\nhuman-cyber-physical systems require semantic web-embedded dynamic knowledge bases, which are\nsubjected to syntax (machine-to-machine communication), semantics (the meaning of the contents),\nand pragmatics (the preferences of individuals involved). This article argues that knowledge-aware\nconcept mapping is a solution to create and analyze the semantic web-embedded dynamic knowledge\nbases for both human and machine learning. Accordingly, this article defines five types of knowledge,\nnamely, analytic a priori knowledge, synthetic a priori knowledge, synthetic a posteriori knowledge,\nmeaningful knowledge, and skeptic knowledge. These types of knowledge help find some rules\nand guidelines to create and analyze concept maps for the purposes human and machine learning.\nThe presence of these types of knowledge is elucidated using a real-life manufacturing knowledge\nrepresentation case. Their implications in learning manufacturing knowledge are also described.\nThe outcomes of this article help install knowledge-aware concept maps for discipline-based education.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_3_publisher_212":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI","subitem_publisher_language":"en"}]},"item_3_relation_191":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/educsci9030228","subitem_relation_type_select":"DOI"}}]},"item_3_rights_192":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).","subitem_rights_language":"en"}]},"item_3_select_195":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher","subitem_select_language":"en"}]},"item_3_source_id_187":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2227-7102","subitem_source_identifier_type":"EISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"AMM Sharif Ullah","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2022-05-25"}],"filename":"education-09-00228.pdf","filesize":[{"value":"1.4 MB"}],"format":"application/pdf","licensetype":"license_0","url":{"url":"https://kitami-it.repo.nii.ac.jp/record/2000235/files/education-09-00228.pdf"},"version_id":"81e1a429-c317-45fb-8b35-8a2d0a763d2e"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Fundamental Issues of Concept Mapping Relevant to Discipline-Based Education: A Perspective of Manufacturing Engineering","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fundamental Issues of Concept Mapping Relevant to Discipline-Based Education: A Perspective of Manufacturing Engineering","subitem_title_language":"en"}]},"item_type_id":"3","owner":"15","path":["87"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2022-05-25"},"publish_date":"2022-05-25","publish_status":"0","recid":"2000235","relation_version_is_last":true,"title":["Fundamental Issues of Concept Mapping Relevant to Discipline-Based Education: A Perspective of Manufacturing Engineering"],"weko_creator_id":"15","weko_shared_id":3},"updated":"2022-12-13T02:24:45.307164+00:00"}