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  1. 広島大学の刊行物
  2. 大学論集
  3. 44集

大規模学生調査から学習成果と学習時間の構造を掴む : 横断的・時系列的分析 <論考>

https://doi.org/10.15027/36505
https://doi.org/10.15027/36505
5855c622-9217-4ef2-8c27-7a86ac82c29c
名前 / ファイル ライセンス アクション
DaigakuRonshu_44_1.pdf DaigakuRonshu_44_1.pdf (2.1 MB)
Item type デフォルトアイテムタイプ_(フル)(1)
公開日 2023-03-18
タイトル
タイトル 大規模学生調査から学習成果と学習時間の構造を掴む : 横断的・時系列的分析 <論考>
言語 ja
タイトル
タイトル The Structure of Learning Outcome and Learning Time in Japanese Students : Cross-sectional and Longitudinal Analyses <Article>
言語 en
作成者 藤村, 正司

× 藤村, 正司

ja 藤村, 正司

en Fujimura, Masashi

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
権利情報 Copyright (c) 2013 Author
主題
主題Scheme NDC
主題 370
内容記述
内容記述 A growing body of literature suggests that given the trend toward universal access to higher education in Japan, learning outcomes, learning time and learner-centered assessment should be the focus of university reform. However, the context of educational services is still a black box and the relationship between student characteristics, college environments and college outcomes has not been systematically examined.    Using data from the National Students Survey in 2010 and National High School Students Survey in 2005-2010 (CRUMP) for 8,032 students enrolled in human and social science departments of 127 private institutions, we initially applied multiple correspondence analysis to visualize the IEO (input-environmentoutput) triangle. Secondly, the context of ratio of ‘excellence’ was examined using multilevel modeling in which students are “nested" each department. Thirdly, we applied growth curve modeling to longitudinal data to investigate level1 variability within individual growth trajectories of learning time.    Major findings are as follows: 1) The IE geometry consisted of two axes. Learning-related categories contributed to axis1 and an articulation between of high school and college, such as admission based on recommendation or examination characterized Axis 2. Organized along the two axes, we found that cognitive outcomes such as critical thinking and problem solving ability overlap axis1. 2) Ten percent of the variance in ratio of ‘excellence’ is explained by level 2 (between departments). Moreover, cross-level interaction of department ranking and recommendation admission shows a positive effect on the ratio of ‘excellence’, meaning that students who enrolled in high ranking private universities by recommendation subsequently earned good grades (vice versa). 3) Regarding growth rate of learning time at the individual level, we conclude that the average linear growth rate is 1 hour over three data points and varies among individuals. In conclusion, possibilities and implications of the national student survey for college impact researchers are discussed.
言語 en
内容記述
内容記述タイプ Other
内容記述 データは,平成17~平成21年度科学研究費・学術創成による「全国大学生調査」と「全国高校生調査」(東京大学大学院大学経営・政策研究センター)を使用した。
出版者
出版者 広島大学高等教育研究開発センター
言語
言語 jpn
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
ID登録
ID登録 10.15027/36505
ID登録タイプ JaLC
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 0302-0142
収録物識別子
収録物識別子タイプ NCID
収録物識別子 AN00136225
開始ページ
開始ページ 1
書誌情報 大学論集
Daigaku ronshu: Research in higher education

号 44, p. 1-17, 発行日 2013-03
旧ID 36505
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