{"_buckets": {"deposit": "6c3e31d1-03f3-40b2-8209-50f588aeb2bc"}, "_deposit": {"id": "1358", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "1358"}, "status": "published"}, "_oai": {"id": "oai:repository.nii.ac.jp:00001358"}, "control_number": "1358", "item_12_biblio_info_7": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2017-07-01", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "1009", "bibliographicPageStart": "1008", "bibliographic_titles": [{"bibliographic_title": "6th International Conference on Learning Technologies and Learning Environments (IIAI AAI 2017 [LTLE2017])"}, {"bibliographic_title": "6th International Conference on Learning Technologies and Learning Environments (IIAI AAI 2017 [LTLE2017])", "bibliographic_titleLang": "en"}]}]}, "item_12_description_5": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "National Institute of Informatics released a basic course for learning programming by MOOC. In the MOOC course, it is important to support learners according to their levels and needs. In this paper, we propose adaptive recommendation of teaching materials based on free descriptions in the course. For this purpose, we visualize free descriptions in the course, and clarify the differences between learners. This will be a help to recommend supplementary teaching materials suitable for the learners.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_12_identifier_registration": {"attribute_name": "ID\u767b\u9332", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.20736/0000001358", "subitem_identifier_reg_type": "JaLC"}]}, "item_12_publisher_8": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE", "subitem_publisher_language": "en"}]}, "item_12_relation_17": {"attribute_name": "\u95a2\u9023\u30b5\u30a4\u30c8", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "https://doi.org/10.1109/IIAI-AAI.2017.176"}], "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1109/IIAI-AAI.2017.176", "subitem_relation_type_select": "DOI"}}]}, "item_12_select_20": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "author"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u53e4\u5ddd, \u96c5\u5b50"}, {"creatorName": "\u30d5\u30eb\u30ab\u30ef, \u30de\u30b5\u30b3", "creatorNameLang": "ja-Kana"}], "nameIdentifiers": [{"nameIdentifier": "3550", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u5c71\u5730, \u4e00\u798e"}], "nameIdentifiers": [{"nameIdentifier": "3551", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "FURUKAWA, Masako", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "2529", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "Yoshitomo", "nameIdentifierScheme": "YAGINUMA"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2020-12-22"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "2017_MAF_001.pdf", "filesize": [{"value": "192.7 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensefree": "(C)2017 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_free", "mimetype": "application/pdf", "size": 192700.0, "url": {"label": "2017_MAF_001.pdf", "url": "https://repository.nii.ac.jp/record/1358/files/2017_MAF_001.pdf"}, "version_id": "cdf4e046-fa7d-43ea-b136-0585991fc7b8"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "conference paper", "resourceuri": "http://purl.org/coar/resource_type/c_5794"}]}, "item_title": "Adaptive recommendation of teaching materials based on free descriptions in MOOC course", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Adaptive recommendation of teaching materials based on free descriptions in MOOC course", "subitem_title_language": "en"}]}, "item_type_id": "12", "owner": "18", "path": ["139/140/207"], "permalink_uri": "https://doi.org/10.20736/0000001358", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2020-12-22"}, "publish_date": "2020-12-22", "publish_status": "0", "recid": "1358", "relation": {}, "relation_version_is_last": true, "title": ["Adaptive recommendation of teaching materials based on free descriptions in MOOC course"], "weko_shared_id": -1}