{"created":"2023-06-19T09:36:04.547836+00:00","id":552,"links":{},"metadata":{"_buckets":{"deposit":"00303ccc-706c-4302-81ea-486ecbe09b4c"},"_deposit":{"created_by":16,"id":"552","owners":[16],"pid":{"revision_id":0,"type":"depid","value":"552"},"status":"published"},"_oai":{"id":"oai:mue.repo.nii.ac.jp:00000552","sets":["1:26:51"]},"author_link":["1297","1138","1548","1127","1076","150","1168","1099"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2015-03-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicPageEnd":"74","bibliographicPageStart":"67","bibliographic_titles":[{"bibliographic_title":"宮城教育大学情報処理センター研究紀要 : COMMUE"},{"bibliographic_title":"COMMUE","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"　本学の授業評価アンケートでは、学生からの意見を求めるために、各授業について自由記述を求めてきた。平成25 年度は通年で3,000 件を超える自由記述が得られている。しかし、これらの多数のデータを概観し、客観的に全体的な傾向を把握することは極めて困難である。また、要約しようにも分析者の恣意的・主観的な解釈となってしまう危険性からは逃れ難い。そこで、こうした危険性を可能な限り回避すべく、本稿では、「テキストマイニング」と呼ばれる手法を用いた分析を行った。①テキストから自動的に語を取り出し、頻出語を確認した上で、②それらの語の共起関係を探ることを通して、恣意的になりやすい手作業を極力廃した分析・要約を試みた。","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宮城教育大学情報処理センター"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12544985","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1884-7773","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"越中, 康治"}],"nameIdentifiers":[{"nameIdentifier":"1297","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"9000002622804","nameIdentifierScheme":"CiNii 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