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Creating Significant Learning Experiences across Disciplines

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Bibliographic Details
Title: Creating Significant Learning Experiences across Disciplines
Language: English
Authors: Levine, Laura E., Fallahi, Carolyn R., Nicoll-Senft, Joan M.
Source: College Teaching. Fall 2008 56(4):247-254.
Availability: Heldref Publications. 1319 Eighteenth Street NW, Washington, DC 20036-1802. Tel: 800-365-9753; Tel: 202-296-6267; Fax: 202-293-6130; e-mail: subscribe@heldref.org; Web site: http://www.heldref.org
Peer Reviewed: Y
Physical Description: PDF
Page Count: 8
Publication Date: 2008
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Descriptors: Learning Strategies, Classification, Educational Technology, Student Evaluation, Course Content, Curriculum Design, Interdisciplinary Approach, Learning Experience, Meta Analysis
DOI: 10.3200/CTCH.56.4.247-254
ISSN: 8756-7555
Abstract: The purpose of this study was to use Fink's (2003) taxonomy of significant learning to redesign courses and assess student learning. Significant improvements were found across the semester for students in the six courses, but there were differences in which taxa showed improvement in each course. The meta-analysis showed significant, positive changes across disciplines in the areas of foundational knowledge, application, human dimension, and learning how to learn. This study provides support for Fink's taxonomy in which significant learning can be achieved through course redesign. (Contains 3 tables.)
Abstractor: As Provided
Number of References: 11
Entry Date: 2008
Accession Number: EJ812496
Database: ERIC
FullText Links:
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  Data: Creating Significant Learning Experiences across Disciplines
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  Data: <searchLink fieldCode="AR" term="%22Levine%2C+Laura+E%2E%22">Levine, Laura E.</searchLink><br /><searchLink fieldCode="AR" term="%22Fallahi%2C+Carolyn+R%2E%22">Fallahi, Carolyn R.</searchLink><br /><searchLink fieldCode="AR" term="%22Nicoll-Senft%2C+Joan+M%2E%22">Nicoll-Senft, Joan M.</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22College+Teaching%22"><i>College Teaching</i></searchLink>. Fall 2008 56(4):247-254.
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  Data: Heldref Publications. 1319 Eighteenth Street NW, Washington, DC 20036-1802. Tel: 800-365-9753; Tel: 202-296-6267; Fax: 202-293-6130; e-mail: subscribe@heldref.org; Web site: http://www.heldref.org
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  Data: <searchLink fieldCode="DE" term="%22Learning+Strategies%22">Learning Strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Evaluation%22">Student Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Course+Content%22">Course Content</searchLink><br /><searchLink fieldCode="DE" term="%22Curriculum+Design%22">Curriculum Design</searchLink><br /><searchLink fieldCode="DE" term="%22Interdisciplinary+Approach%22">Interdisciplinary Approach</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Experience%22">Learning Experience</searchLink><br /><searchLink fieldCode="DE" term="%22Meta+Analysis%22">Meta Analysis</searchLink>
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  Data: The purpose of this study was to use Fink's (2003) taxonomy of significant learning to redesign courses and assess student learning. Significant improvements were found across the semester for students in the six courses, but there were differences in which taxa showed improvement in each course. The meta-analysis showed significant, positive changes across disciplines in the areas of foundational knowledge, application, human dimension, and learning how to learn. This study provides support for Fink's taxonomy in which significant learning can be achieved through course redesign. (Contains 3 tables.)
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  Data: 2008
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      – SubjectFull: Classification
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      – SubjectFull: Educational Technology
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      – SubjectFull: Student Evaluation
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      – SubjectFull: Course Content
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      – SubjectFull: Curriculum Design
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      – SubjectFull: Interdisciplinary Approach
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      – SubjectFull: Learning Experience
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      – SubjectFull: Meta Analysis
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      – TitleFull: Creating Significant Learning Experiences across Disciplines
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