Adding Behavior to Thinking about Structures &amp; Functions

Jordan, R. W.; Gray, Steven M.; Demeter, Marylee; Liu, Lei; Hmelo‐Silver, Cindy E.

doi:10.1662/0002-7685(2008)70[329:abttas]2.0.co;2

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“…The SBF framework was originally designed to describe complex engineered systems ( Goel et al. , 1996 ) and was later used for facilitating systems thinking and analyzing students’ conceptual representations of biological systems and processes ( Jordan et al. , 2008 ; Liu and Hmelo-Silver, 2009 ; Vattam et al.…”

Section: Introductionmentioning

confidence: 99%

Introductory Biology Students’ Conceptual Models and Explanations of the Origin of Variation

Speth

Shaw

Momsen

et al. 2014

LSE

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Section: Introductionmentioning

confidence: 99%

Introductory Biology Students’ Conceptual Models and Explanations of the Origin of Variation

Speth

Shaw

Momsen

et al. 2014

LSE

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A framework for understanding the characteristics of complexity in biology

Dauer

2016

IJ STEM Ed

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Understanding the functioning of natural systems is not easy, although there is general agreement that understanding complex systems is an important goal for science education. Defining what makes a natural system complex will assist in identifying gaps in research on student reasoning about systems. The goal of this commentary is to propose a framework that explicitly defines the ways in which biological systems are complex and to discuss the potential relevance of these complexity dimensions to conducting research on student reasoning about complexity in biology classrooms. We use an engineering framework for dimensions of complexity and discuss how this framework may also be applied to biological systems, using gene expression as an example. We group dimensions of this framework into components, functional relationships among components, processes, manifestations, and interpretations within biological systems. We explain four steps that discipline-based education researchers can use to apply these dimensions to explore student reasoning about complex biological systems.

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