scholarly journals Complex Systems Research in K12 Science Education: A Focus on What Works for Whom and under Which Conditions

Systems ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 29
Author(s):  
Susan Yoon
Keyword(s):  
Science Education ◽  
Complex Systems ◽  
Social Groups ◽  
Environmental Damage ◽  
Systems Research ◽  
What Works

From fighting disease to reversing environmental damage, the quest to effectively model our bodies, our social groups and our effects on the planet is a profoundly important one. [...]

Integrative Nursing in Sweden

2014 ◽  
pp. 515-525 ◽  
Author(s):  
Mats Jong ◽  
Miek C. Jong ◽  
Torkel Falkenberg
Keyword(s):  
Health Care ◽  
Complex Systems ◽  
Integrative Medicine ◽  
Real World ◽  
Complex Interventions ◽  
Holistic Care ◽  
Nursing Curricula ◽  
Specific Effects ◽  
Systems Research ◽  
Research Complex

In Sweden concepts of holistic care are well integrated in nursing curricula and health care legislation, but terms such as integrative nursing and integrative medicine is unfamiliar. A major challenge in Sweden is to inform and reform stakeholders in healthcare to acknowledge the benefits and value of evidence generated in (pragmatic-real world research) complex systems research since often integrative nursing methods are complex interventions where it is hard to rely on evidence of specific effects from individual elements of interventions. Experience based programs (on evidence informed integrative nursing practices) may be a key to create awareness among university staff, students, and future healthcare professionals of the qualities of integrative practices to promote and maintain health.

scholarly journals Facilitating Authentic Reasoning About Complex Systems in Middle School Science Education

2013 ◽  
Vol 16 ◽  
pp. 1043-1052 ◽  
Author(s):  
David A. Joyner ◽  
David M. Majerich ◽  
Ashok K. Goel
Keyword(s):  
Middle School ◽  
Science Education ◽  
Complex Systems ◽  
School Science ◽  
Middle School Science

scholarly journals Exploring Links between Complexity Constructs and Children’s Knowledge Formation: Implications for Science Learning

2021 ◽  
Author(s):  
Michael J. Droboniku ◽  
Heidi Kloos ◽  
Dieter Vanderelst ◽  
Blair Eberhart
Keyword(s):  
Science Education ◽  
Complex Systems ◽  
Science Learning ◽  
Complexity Science ◽  
Close Correspondence ◽  
Ongoing Controversy ◽  
Preliminary Step ◽  
The Past ◽  
Open Questions ◽  
Knowledge Formation

This essay brings together two lines of work—that of children’s cognition and that of complexity science. These two lines of work have been linked repeatedly in the past, including in the field of science education. Nevertheless, questions remain about how complexity constructs can be used to support children’s learning. This uncertainty is particularly troublesome given the ongoing controversy about how to promote children’s understanding of scientifically valid insights. We therefore seek to specify the knowledge–complexity link systematically. Our approach started with a preliminary step—namely, to consider issues of knowledge formation separately from issues of complexity. To this end, we defined central characteristics of knowledge formation (without considerations of complexity), and we defined central characteristics of complex systems (without considerations of cognition). This preliminary step allowed us to systematically explore the degree of alignment between these two lists of characteristics. The outcome of this analysis revealed a close correspondence between knowledge truisms and complexity constructs, though to various degrees. Equipped with this insight, we derive complexity answers to open questions relevant to science learning.

scholarly journals Modelling biological complexity: a physical scientist's perspective

2005 ◽  
Vol 2 (4) ◽  
pp. 267-280 ◽  
Author(s):  
Peter V Coveney ◽  
Philip W Fowler
Keyword(s):  
Systems Biology ◽  
Complex Systems ◽  
Time Scales ◽  
Rna World ◽  
Molecular Model ◽  
World View ◽  
Cellular Level ◽  
Coarse Grained ◽  
Coupled Models ◽  
Systems Research

We discuss the modern approaches of complexity and self-organization to understanding dynamical systems and how these concepts can inform current interest in systems biology. From the perspective of a physical scientist, it is especially interesting to examine how the differing weights given to philosophies of science in the physical and biological sciences impact the application of the study of complexity. We briefly describe how the dynamics of the heart and circadian rhythms, canonical examples of systems biology, are modelled by sets of nonlinear coupled differential equations, which have to be solved numerically. A major difficulty with this approach is that all the parameters within these equations are not usually known. Coupled models that include biomolecular detail could help solve this problem. Coupling models across large ranges of length- and time-scales is central to describing complex systems and therefore to biology. Such coupling may be performed in at least two different ways, which we refer to as hierarchical and hybrid multiscale modelling. While limited progress has been made in the former case, the latter is only beginning to be addressed systematically. These modelling methods are expected to bring numerous benefits to biology, for example, the properties of a system could be studied over a wider range of length- and time-scales, a key aim of systems biology. Multiscale models couple behaviour at the molecular biological level to that at the cellular level, thereby providing a route for calculating many unknown parameters as well as investigating the effects at, for example, the cellular level, of small changes at the biomolecular level, such as a genetic mutation or the presence of a drug. The modelling and simulation of biomolecular systems is itself very computationally intensive; we describe a recently developed hybrid continuum-molecular model, HybridMD, and its associated molecular insertion algorithm, which point the way towards the integration of molecular and more coarse-grained representations of matter. The scope of such integrative approaches to complex systems research is circumscribed by the computational resources available. Computational grids should provide a step jump in the scale of these resources; we describe the tools that RealityGrid, a major UK e-Science project, has developed together with our experience of deploying complex models on nascent grids. We also discuss the prospects for mathematical approaches to reducing the dimensionality of complex networks in the search for universal systems-level properties, illustrating our approach with a description of the origin of life according to the RNA world view.

scholarly journals Complex Systems Research at LANL

2013 ◽  
Author(s):  
Francis J Alexander
Keyword(s):  
Complex Systems ◽  
Systems Research

The Science of Visual Data Communication: What Works

2021 ◽  
Vol 22 (3) ◽  
pp. 110-161 ◽  
Author(s):  
Steven L. Franconeri ◽  
Lace M. Padilla ◽  
Priti Shah ◽  
Jeffrey M. Zacks ◽  
Jessica Hullman
Keyword(s):  
Public Policy ◽  
Working Memory ◽  
Science Education ◽  
Critical Role ◽  
Data Communication ◽  
What Works ◽  
Graphical Literacy ◽  
Visual Systems ◽  
Global Statistics ◽  
Data Visualizations

Effectively designed data visualizations allow viewers to use their powerful visual systems to understand patterns in data across science, education, health, and public policy. But ineffectively designed visualizations can cause confusion, misunderstanding, or even distrust—especially among viewers with low graphical literacy. We review research-backed guidelines for creating effective and intuitive visualizations oriented toward communicating data to students, coworkers, and the general public. We describe how the visual system can quickly extract broad statistics from a display, whereas poorly designed displays can lead to misperceptions and illusions. Extracting global statistics is fast, but comparing between subsets of values is slow. Effective graphics avoid taxing working memory, guide attention, and respect familiar conventions. Data visualizations can play a critical role in teaching and communication, provided that designers tailor those visualizations to their audience.

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