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ID 36505
file
title alternative
The Structure of Learning Outcome and Learning Time in Japanese Students : Cross-sectional and Longitudinal Analyses <Article>
creator
NDC
Education
abstract
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.
description
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。
journal title
Daigaku ronshu: Research in higher education
issue
Issue 44
start page
1
end page
17
date of issued
2013-03
publisher
広島大学高等教育研究開発センター
issn
0302-0142
ncid
language
jpn
nii type
Departmental Bulletin Paper
HU type
Departmental Bulletin Papers
DCMI type
text
format
application/pdf
text version
publisher
rights
Copyright (c) 2013 Author
department
Research Institute for Higher Education
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