{"created":"2023-06-20T15:28:58.947129+00:00","id":8697,"links":{},"metadata":{"_buckets":{"deposit":"9b1085d1-3568-4363-8614-1b38bc615d35"},"_deposit":{"created_by":12,"id":"8697","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"8697"},"status":"published"},"_oai":{"id":"oai:ouj.repo.nii.ac.jp:00008697","sets":[]},"author_link":["12106","12102","12103","12105","12104","12107"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-03-25","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"66","bibliographicPageStart":"55","bibliographicVolumeNumber":"39","bibliographic_titles":[{"bibliographic_title":"放送大学研究年報"},{"bibliographic_title":"Journal of The Open University of Japan","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"放送大学で配信中のデータサイエンス（DS）のモデルカリキュラム準拠のリテラシー教材を利用した学習が充分に効果を上げるためには、その学習内容を理解するために必要な高等学校卒業レベルの「数学」や「情報」科目で扱う学習内容を修得していることが前提となる。そこで本論文では、データサイエンス教育における基礎学力の把握及び影響要因とニーズ調査のために、データサイエンス分野のリメディアルチェックテストとアンケートを開発し、２つの大学の１年生計140名を対象に実施した。その結果、DSに関連する高校数学のリメディアル分野において学生のつまずきやすい事項が示唆されると共に、DSに関連する高校数学の科目や単元の受講が一部に留まっている現状、そしてDSスキルへのニーズとDS関連用語の理解度の実情が明らかになった。さらに、テストの正答率と調査項目の関連性を調べた結果、数学Ⅱと数学B、そしてDSに関連する数学Ⅰの「データの分析」、数学Aの「場合の数と確率」、数学Bの「確率分布と統計的な推測」の単元を履修した学生、そしてプレゼンテーションソフトと表計算ソフトを学校で習った学生の正答率が有意に高く、これらの事項がDSに関する数学的基礎能力の向上と関連のある可能性が示唆された。","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"放送大学"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10019636","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0911-4505","subitem_source_identifier_type":"ISSN"}]},"item_10002_textarea_25":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_textarea_language":"en","subitem_textarea_value":"　In order to learn effectively using literacy teaching materials based on the data science model curriculum being distributed at the Open University of Japan, high school graduation-level “math” and “information” are required to understand the learning content It is assumed that you have mastered the learning content to be dealt with in the subject. Therefore, in this paper, we developed a remedial check test and a questionnaire in the field of data science in order to understand basic academic ability in data science education and to investigate influential factors and needs, and conducted it for a total of 140 first-year students from two universities. As a result, it is suggested that students are likely to trip over in the field of high school mathematics remedial related to DS, and the current situation that only some high school mathematics subjects and units related to DS are taken, and DS skills The actual situation of needs and understanding of DS-related terms was clarified. Furthermore, as a result of investigating the relationship between the correct answer rate of the test and the survey items, “Analysis of data” of Mathematics II and Mathematics B, and DS-related Mathematics I, “Number and probability of cases” of Mathematics A, and　Mathematics B The percentage of correct answers for students who took the unit of “Probability Distribution and　Statistical Guess” and those who learned presentation software and table calculation software at school was　significantly high, and these items improved the mathematical basic ability regarding DS."}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"辻　, 靖彦"},{"creatorName":"ツジ, ヤスヒコ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"12102","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"秋葉, 広人"},{"creatorName":"アキバ, ヒロト","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"12103","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"芝崎, 順司"},{"creatorName":"シバサキ, ジュンジ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"12104","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"TSUJI, Yasuhiko ","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"12105","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"AKIBA, Hiroto ","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"12106","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"SHIBASAKI, Junji ","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"12107","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-04-12"}],"displaytype":"detail","filename":"39_05.pdf","filesize":[{"value":"3.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"39_05","url":"https://ouj.repo.nii.ac.jp/record/8697/files/39_05.pdf"},"version_id":"eb98a909-2e5d-436b-828c-8f6ced414944"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データサイエンス","subitem_subject_scheme":"Other"},{"subitem_subject":"リメディアル教育","subitem_subject_scheme":"Other"},{"subitem_subject":"数学教育","subitem_subject_scheme":"Other"},{"subitem_subject":"情報教育","subitem_subject_scheme":"Other"},{"subitem_subject":"data science","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"remedial education","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"mathematics education","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"information education","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"大学生を対象としたデータサイエンスに関する 数学的基礎能力の測定とニーズ及び影響要因の調査","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大学生を対象としたデータサイエンスに関する 数学的基礎能力の測定とニーズ及び影響要因の調査"},{"subitem_title":"Survey on Mathematical Basic Ability by Testing Related to Data Science, Its factors and Needs Targeting at Universitiesʼ Students","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"12","path":["644"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-04-13"},"publish_date":"2022-04-13","publish_status":"0","recid":"8697","relation_version_is_last":true,"title":["大学生を対象としたデータサイエンスに関する 数学的基礎能力の測定とニーズ及び影響要因の調査"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2023-06-20T16:00:10.132752+00:00"}