scholarly journals Visualizing Teacher Education as a Complex System: A Nested Simplex System Approach

Author(s):  
Larry H Ludlow ◽  
Fiona Ell ◽  
Marilyn Cochran-Smith ◽  
Avery Newton ◽  
Kaitlin Trefcer ◽  
...  

Our purpose is to provide an exploratory statistical representation of initial teacher education as a complex system comprised of dynamic influential elements. More precisely, we reveal what the system looks like for differently-positioned teacher education stakeholders based on our framework for gathering, statistically analyzing, and graphically representing the results of a unique exercise wherein the participants literally mapped the system as they perceived it. Through an iterative series of inter-related studies employing cluster analysis and multidimensional scaling procedures, we demonstrate how initial teacher education may be represented as a complex system comprised of interactive agents and attributes whose perceived relationships are a function of nested stakeholder-dependent simplex systems. Furthermore, we illustrate how certain propositions of complexity theory, such as boundaries, heterogeneity, multidimensionality and emergence, may be investigated and represented quantitatively.

2014 ◽  
Vol 116 (4) ◽  
pp. 1-38 ◽  
Author(s):  
Marilyn Cochran-Smith ◽  
Fiona Ell ◽  
Larry Ludlow ◽  
Lexie Grudnoff ◽  
Graeme Aitken

Background/Context In many countries, there are multiple studies intended to improve initial teacher education. These have generally focused on pieces of teacher education rather than wholes, and have used an underlying linear logic. It may be, however, that what is needed are new research questions and theoretical frameworks that account for wholes, not just parts, and take complex, rather than reductionist perspectives. Purpose This article examines the challenges and the promises of complexity theory as a framework for teacher education research. One purpose is to elaborate the basic tenets of complexity theory, summarize its previous uses, and identify key challenges. A second purpose is to propose a new research platform that combines complexity theory with critical realism (CT-CR) and prompts a new set of empirical questions and research methods. Research Design Drawing on scholarship from sociology and education, the underlying design—or logic—of this analytic essay is this: explanation of the basic tenets of complexity theory applied to teacher education, assessment of previous research informed by complexity theory, response to the major epistemological and methodological challenges involved in using complexity theory as a research framework, and proposal of a new set of questions and methods. Findings/Results Complexity theory is appealing to teacher education researchers who want to avoid simplistic and reductionist perspectives. However, most previous complexity research has not addressed the critiques: the proclivity of complexity theory for retrospective description; the assertion that, given its rejection of linear causality, complexity theory cannot provide causal explanations with implications for practice; and the charge that complexity-informed research cannot deal with the values and power inequalities inherent in the normative enterprise of education. Integrating complexity theory with critical realism provides a way to address these fundamental challenges. Building on this new platform, the essay proposes a new set of empirical questions about initial teacher education along with several innovative research methods to address those questions. Conclusions/Recommendations This essay concludes that the combination of complexity theory and critical realism offers a unique platform for teacher education research, which has theoretical consistency, methodological integrity, and practical significance. The essay recommends that its proposed new empirical questions and methods may have the capacity to show us where to look and what processes to trace as teacher candidates learn to enact practice that enhances the learning of all students, including those not well-served by the current system.


Author(s):  
Fiona Ell ◽  
Marilyn Cochran-Smith ◽  
Mary Hill ◽  
Mavis Haigh ◽  
Lexie Grudnoff ◽  
...  

Qualitative teacher education research is concerned with understanding the processes and outcomes of teacher preparation in ways that are useful for practitioners, policymakers, and the teaching profession. Complexity theory has its origin in the biological and physical sciences, where it applies to phenomena that are more than the sum of their parts—where the “higher order” form cannot be created by just putting together the pieces that it is made from. Complexity theory has moved to social science, and to education, because many social phenomena also seem to have this property. These phenomena are termed “complex systems.” Complexity theory is also a theory of learning and change, so it is concerned with how complex systems are learning and changing. This means that methods to investigate complex systems must be able to identify changes in the system, termed “emergence,” and must also account for change over time and the history of the complex system. Longitudinal designs that involve the collection of rich data from multiple sources can support understanding of how a complex system, such as teacher education, is learning and changing. Comparative analysis, narrative analysis, extended case studies, mapping of networks and interactions, and practitioner research studies have all been used to try to bring complexity theory to empirical work in teacher education. Adopting a complexity theory approach to research in teacher education is difficult because it calls into question many taken-for-granted assumptions about the nature of research and what is possible to find. Linear, process-product thinking cannot be sustained in a complexity framework, and ideas like “cause,” “outcome,” “change,” and “intervention” all have to be re-thought. A growing body of work uses complexity thinking to inform research in teacher education.


Author(s):  
Manuela Piscitelli

The objective of this chapter is to show how chaos and complexity theory can be applied to understanding of the dynamics of a city. At first, the changes in the theoretical and practical knowledge that occurred in contemporary philosophical and scientific thought from the end of the nineteenth century, which led to the formulation of the chaos and complexity theory are discussed. The new vision of the world emerging from chaos and complexity theory allows a rapprochement between the two complementary ways of analysis and action: the analytical method, born from the Cartesian method, and the systemic approach, derived from cybernetics and systems theory. Then the characteristics of a complex system are analyzed by referring to the definitions of the main exponents of the discipline, in order to understand if a city can be identified as a complex system. A review of the main theories about complexity of the city is included in order to demonstrate that a city can be considered as a “system” defined by the elements (the various activities and urban functions) and from the interactions and relations between its various components (tangible and intangible communications) that produces hardly detectable effects on all parts of the city. Finally, the systems currently used for the description and the representation of components and relationships of a city intended as a complex system are presented.


2017 ◽  
Vol 45 (4) ◽  
pp. 327-345 ◽  
Author(s):  
Fiona Ell ◽  
Mavis Haigh ◽  
Marilyn Cochran-Smith ◽  
Lexie Grudnoff ◽  
Larry Ludlow ◽  
...  

1973 ◽  
Author(s):  
Robert R. Read ◽  
Richard S. Elster ◽  
Gerald L. Musgrave ◽  
John W. Creighton ◽  
William H. Githens

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