Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in Education

Within the field of education, there has been a growing recognition of the importance of context in understanding various aspects of education (Phillips & Burbules, 2000), and systems approaches to understanding change have become increasingly common. Yet, the simple linear algorithm implicit in...

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Main Author: Eileen S. Johnson
Format: Article
Language:English
Published: Ralph W. Steen Library, Stephen F. Austin State University 2008-10-01
Series:School Leadership Review
Online Access:https://scholarworks.sfasu.edu/cgi/viewcontent.cgi?article=1134&context=slr
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spelling doaj-409b8b3df7f94e64b6485e0119068c272020-11-25T00:09:05ZengRalph W. Steen Library, Stephen F. Austin State UniversitySchool Leadership Review1559-49982008-10-01334147Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in EducationEileen S. Johnson0Oakland UniversityWithin the field of education, there has been a growing recognition of the importance of context in understanding various aspects of education (Phillips & Burbules, 2000), and systems approaches to understanding change have become increasingly common. Yet, the simple linear algorithm implicit in current policy such as the Adequate Yearly Progress provision of No Child Left Behind (U.S. Department of Education, 2002) fails to take into account the complex and dynamic nature of education and represents an inappropriate oversimplification of educational outcomes and their measurement. This article postulates that the ecological systems model of Urie Bronfenbrenner represents a useful theoretical framework for understanding the processes and interactions involved in student achievement, and that the dynamic, non-linear changes within these systems can be effectively understood by applying the mathematical models of complexity theory.https://scholarworks.sfasu.edu/cgi/viewcontent.cgi?article=1134&context=slr
collection DOAJ
language English
format Article
sources DOAJ
author Eileen S. Johnson
spellingShingle Eileen S. Johnson
Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in Education
School Leadership Review
author_facet Eileen S. Johnson
author_sort Eileen S. Johnson
title Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in Education
title_short Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in Education
title_full Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in Education
title_fullStr Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in Education
title_full_unstemmed Ecological Systems, Complexity, and Student Achievement: Towards an Alternative Model of Accountability in Education
title_sort ecological systems, complexity, and student achievement: towards an alternative model of accountability in education
publisher Ralph W. Steen Library, Stephen F. Austin State University
series School Leadership Review
issn 1559-4998
publishDate 2008-10-01
description Within the field of education, there has been a growing recognition of the importance of context in understanding various aspects of education (Phillips & Burbules, 2000), and systems approaches to understanding change have become increasingly common. Yet, the simple linear algorithm implicit in current policy such as the Adequate Yearly Progress provision of No Child Left Behind (U.S. Department of Education, 2002) fails to take into account the complex and dynamic nature of education and represents an inappropriate oversimplification of educational outcomes and their measurement. This article postulates that the ecological systems model of Urie Bronfenbrenner represents a useful theoretical framework for understanding the processes and interactions involved in student achievement, and that the dynamic, non-linear changes within these systems can be effectively understood by applying the mathematical models of complexity theory.
url https://scholarworks.sfasu.edu/cgi/viewcontent.cgi?article=1134&context=slr
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