Going Deep into Mechanisms for Moral Reasoning Growth: How Deep Learning Approaches Affect Moral Reasoning Development for First-year Students

被引:23
|
作者
Mayhew, Matthew J. [1 ]
Seifert, Tricia A. [2 ]
Pascarella, Ernest T. [3 ]
Laird, Thomas F. Nelson [4 ]
Blaich, Charles F. [5 ]
机构
[1] NYU, New York, NY 10012 USA
[2] Univ Toronto, Ontario Inst Studies Educ, Toronto, ON M5S 1V5, Canada
[3] Univ Iowa, Iowa City, IA 52242 USA
[4] Indiana Univ, Bloomington, IN 47405 USA
[5] Wabash Coll, Ctr Inquiry Liberal Arts, Crawfordsville, IN 47933 USA
关键词
Moral reasoning development; Deep learning; Quantitative; First-year students; DEFINING ISSUES TEST; LIBERAL-ARTS COLLEGE; JUDGMENT DEVELOPMENT; PREFERENCE; VALIDITY; OUTCOMES;
D O I
10.1007/s11162-011-9226-3
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The purpose of this paper was to determine the effects of deep approaches to learning on the moral reasoning development of 1,457 first-year students across 19 institutions. Results showed a modest positive relationship between our measures of deep approaches to learning and moral reasoning at the end of the first year of college even after controlling for precollege moral reasoning. After accounting for a host of demographic and relevant student characteristics and for the natural clustering of students, we found that the integrative learning subscale, which captures students' participation in activities designed to integrate information from varied sources and diverse perspectives, positively affected moral reasoning among first-year students. Implications for researchers and practitioners are discussed.
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页码:26 / 46
页数:21
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