| What Behaviors Are Desirable in Students Creating System Models? A Step before Assessment. |
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Author(s):
Diana Fisher, & Tim Joy |
Subject:
Implementation |
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This presentation attempts to take one step back from the assessment issue and determine what the authors feel are desirable traits in a student or student group who has chosen to study problems from a systems perspective. |
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| Teaching System Dynamics to Teachers and Students in 8-12 Environment |
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Author(s):
Diana M. Fisher |
Subject:
Project Histories |
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From CC-STADUS. Paper presented at the 1994 International System Dynamics Conference--System Dynamics, Exploring the Boundaries. The paper presents two topics: l) the details of training math, science, and social studies teachers in systemic modeling duri |
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| Systems Thinking and System Dynamics in the CC-STADUS High School Project (How High School Students Become System Thinkers) |
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Author(s):
Scott Guthrie, & Diana Fisher |
Subject:
Project Histories |
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From CC-STADUS. Science teacher Scott Guthrie and math teacher Diana Fisher discuss their individual approaches teaching a year long course in system dynamics modeling. Presented at the 1996 International System Dynamics Conference in Cambridge, MA. |
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| System Dynamics Models Created by High School Students. |
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Author(s):
Diana M. Fisher |
Subject:
Project Histories |
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Presented at the 2000 International System Dynamics Society Conference in Bergen, Norway, this paper presents examples of models with serious mistakes made in the early years of modeling classes in Portland, OR, and a larger set of good models that are mo |
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| Seamless Integration of System Dynamics into High School Mathematics: Algebra, Calculus, Modeling Courses |
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Author(s):
Diana Fisher, & Ron Zaraza |
Subject:
Implementation |
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From CC-STADUS. A report on the introduction of system dynamics concepts into the mathematics curricula, including sample models. |
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| Oscillating Example for Algebra II, Using STELLA |
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Author(s):
Diana M. Fisher |
Subject:
Math |
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From CC-STADUS. Demonstrates existing conditions, involves predator-prey relationship, explores (pulse-started) oscillation. |
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| Non-Linear Systems Using STELLA II |
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Author(s):
Diana M. Fisher |
Subject:
Math |
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From CC-STADUS. Complex tutorial; involves catching a train, financial investment; explores linear, quadratic, and exponential growth. |
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| Modeling Dynamic Systems Section 9 |
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Author(s):
Diana Fisher |
Subject:
System Dynamics |
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Supply chain dynamics are useful for illustrating the complex system characteristic that cause and effect are often separated by both time and space. Supply chains are often global, with decisions taken today causing impacts into the future and across national boundaries. The lessons of this section can also be used in conjunction with the Oscillations curriculum, particularly the lesson on commodity cycles, to illustate that the cause of a problem is within the system. |
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Link to the simulation: http://www.iseesystems.com
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| Modeling Dynamic Systems Section 8 |
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Author(s):
Diana Fisher |
Subject:
System Dynamics |
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Policy analysis gives students an opportunity to learn first-hand that complex systems are rich in feedback. They will experience the frustration of implementing well-meaning interventions, only to have them defeated by the feedback mechanisms of the system itself. They will learn why some policies have more leverage than others, and why those policies are often the most difficult to implement correctly in real life. |
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Link to the simulation: http://www.iseesystems.com
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| Modeling Dynamic Systems Section 7 |
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Author(s):
Diana Fisher |
Subject:
System Dynamics |
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The dynamics of epidemics can be used to impart an intuitive understanding of what it means to say a policy has "high leverage." Students can be tasked with conducting policy analysis to determine the leverage points in preventing an infectious illness from becoming an epidemic. Along the way they will learn why well-intensioned but low-leverage policies in real life often fail to have the desired effects in complex systems.
For some illness/disease, symptoms appear long after initial infection. Sometimes people travel great distance while infected because they are unaware of the infection. Medical "detectives" faced with an epidemic must understand how the infection spreads and how quickly. Delays in the system make this more difficult. |
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Link to the file: http://www.iseesystems.com
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