テキスト分析によるグローバルかつ汎用的な学習成果設定: デンマーク・英・日調査

Material type: 文書・図像類

Author: 堀井, 祐介ほか

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Publication date: 2016-05-20

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Note (General)：: 金沢大学国際基幹教育院高等教育開発・支援系共通する7分野（化学、教育学、歴史学、言語学、数学、物理学、神学）における学習成果記述について、デンマークアクレディテーション報告書、英国QAAのSubject benchmark statements、TUNING specific competences...

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https://kaken.nii.ac.jp/search/?qm=30304041

https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25381125/

https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-25381125/25381125seika/

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Material Type: 文書・図像類
Title: テキスト分析によるグローバルかつ汎用的な学習成果設定: デンマーク・英・日調査
Author/Editor: 堀井, 祐介
Horii, Yusuke
Author Heading: 堀井, 祐介
Horii, Yusuke
Publication Date: 2016-05-20
Publication Date (W3CDTF): 2016-05-20
Alternative Title: The global and versatile way of making the student learning outcomes by using the text mining approach
Periodical title: 平成27(2015)年度科学研究費補助金基盤研究(C) 研究成果報告書 = 2015 Fiscal Year Final Research Report
No. or year of volume/issue: 2013-04-01 - 2016-03-31
Volume: 2013-04-01 - 2016-03-31
Pages: 4p.-
Text Language Code: jpn
Subject Heading: 学修成果・学習成果
専門分野別教育プログラム
テキストマイニング
コーパス
コンコーダンス
Target Audience: 一般
Note (General): 金沢大学国際基幹教育院高等教育開発・支援系
共通する7分野（化学、教育学、歴史学、言語学、数学、物理学、神学）における学習成果記述について、デンマークアクレディテーション報告書、英国QAAのSubject benchmark statements、TUNING specific competences、日本の大学（国大協加盟86大学、公大協加盟12大学、私大連加盟121大学）から収集し、日本語ベースでテキストマイニングの手法で語彙の頻度（名詞、形容詞、動詞）、語彙の共起関係（名詞－形容詞、名詞－動詞）などを分析し、分野毎に客観的データに基づくグローバルかつ汎用的な学習成果一覧を作成することが出来た。
1. the descriptions of the student learning outcomes from the akkrediteringsrapporter og afgoerelser from Denmark (DK), the subject benchmark statements explaining the core competencies at honours degree level (QAA) from England, the specific competences of TUNING Educational Structures in Europe (TUNING) have been checked. 2. the seven common fields in these three documents (chemistry, education, history, linguistics, mathematics, physics and theology) have been selected as target fields. 3. the student learning outcomes in these seven fields of DK, QAA, TUNING and some Japanese universities have been collected. And then, these descriptions of Learning Outcomes in Japanese have been analyzed by using the text mining approach. On the basis of the list of the word-frequency and the collocation (noun-adjective, noun-verb), the student learning outcomes have been reconstructed in those seven fields objectively without the implicit and context-dependent knowledge.
研究課題/領域番号:25381125, 研究期間(年度):2013-04-01 - 2016-03-31
DOI: 10.24517/00052775
Access Restrictions: 限定公開
Related Material: https://kaken.nii.ac.jp/search/?qm=30304041
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25381125/
https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-25381125/25381125seika/
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 金沢大学 : 金沢大学学術情報リポジトリKURA