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Search results for: in collaboration with the CLE
22 records found. Currently displaying page 1 of 3 1 2 3 [Next >>]
Succession from Sand Dune to Maritime Forest on a Barrier Island
Author(s): Aili Carlson, & Sarah Clemmitt Subject: Science
  From the Maryland Virtual High School. By building a computer model of a complex dynamic system--the succession form sand dune to maritime forest on a barrier island--the student develops an understanding of the relationships among many contributing varia
  Zipped (Models & PDF)
Oscillations: Characteristics of Complex Systems in K-12 Education Project
Author(s): Jennifer Andersen, Anne LaVigne, & in collaboration with the CLE Subject: Cross-Curricular
  Led by a partnership between MIT Professor Emeritus Jay W. Forrester and the Creative Learning Exchange, the goal of the Characteristics of Complex Systems Project is to create online curricula for ages five and above that will illustrate the characteristics of complex systems. In exploring the nature of complex social systems, the curricula address questions such as – why do such systems resist policy changes? Why are short-term and long-term responses to corrective action often at odds with each other? How can leverage points be applied to bring about desirable change in social systems? The goals of the project are grounded in the belief that an abstract level of understanding of social systems will help prepare future citizens to actively shape their society. The lessons and simulations are based upon the fourth characteristic of complex systems: the cause of the problem is within the system.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF
Oscillations 5A All Together Now: Predator, Prey, and Plants
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  This lesson allows students to explore the interactions of two animal populations (wolves and moose) and plants within an ecosystem. The populations and the plants rise and fall (oscillate) over time as they interact and impact one another.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF

Link to the simulation: http://www.clexchange.org/curriculum/complexsystems/oscillation/Oscillation_BiomassA.asp
Oscillations 4C Waves of Change: Predator and Prey Dynamics
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  The predator/prey model explores a moose and wolf population living on a small island. Students can change various components of a predator/prey model, including birth factor, lifespan, and habitat area. The default simulation behavior is oscillation of both prey and predator populations, in which the state of each population impacts the state of the other over time.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF

Link to the simulation: change.org/curriculum/complexsystems/oscillation/Oscillation_PredPreyC.asp
Oscillations 4B Wild Things: Interacting Populations
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  This lessons allows students to explore the interactions of predator and prey within an ecosystem and create a map showing connections between predator and prey populations, to compare results for simulation runs.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF

Link to the simulation: http://www.clexchange.org/curriculum/complexsystems/oscillation/Oscillation_PredPreyB.asp
Oscillations 4A Up and Down in the Wild: Predator and Prey
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  This lesson allows students to explore the interactions of two animal populations (wolves and moose) within an ecosystem. One animal in the simulation is a predator. The other animal is its prey. Their populations rise and fall (oscillate) over time as they interact and impact one another.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF

Link to the simulation: http://www.clexchange.org/curriculum/complexsystems/oscillation/Oscillation_PredPreyA.asp
Oscillations 4 Background Information on Simulation Created for Lesson 4: Waves of Change: Predator and Prey Dynamics
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  This lesson builds on Lesson 3 – Rabbits, Rabbits, and More Rabbits: Logistic Growth in Animal Populations within the Oscillation curriculum created for the Complex Systems Project. Lessons 3 - 5 work together to show how a population in isolation can experience growth or decline, but not oscillation (Lesson 3). Further, it is only when considering a population in relation to a wider system boundary, either interacting with another population (Lesson 4) and/or a food supply (Lesson 5), that we have the structure necessary to produce cyclic behavior.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF
Oscillations 3C: Rabbits, Rabbits, and More Rabbits: Logistic Growth in Animal Populations
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  This simple population model explores a variety of animals limited only by their own population densities. Students can change various settings for each population, including birth factor, lifespan, and habitat area. Each of the populations does (or would eventually) level off as it reaches a carrying capacity.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF

Link to the simulation: http://www.clexchange.org/curriculum/complexsystems/oscillation/Oscillation_PopulationC.asp
Oscillations 3B Why Are There Not More Elephants?: Population Dynamics
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  This lesson explores how animal populations can grow and decline over time through use of a simulation. This very simple model allows students to impact the birth and death rates based on input for different animals. The simulation displays what happens to the different populations over time. Students can compare the resulting trends for different animals and consider why those trends occur. Students may also research additional animal data in order to create their own runs.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF

Link to the simulation: http://www.clexchange.org/curriculum/complexsystems/oscillation/Oscillation_PopulationB.asp
Oscillations 3A Too Many Animals?
Author(s): Anne LaVigne, Jennifer Andersen, & in collaboration with the CLE Subject: Cross-Curricular
  Students see animals all around them, often pets in their home or birds and other wildlife in their neighborhood. This lesson allows students to explore how populations can grow and decline over time. Students can use the information in the simulation to input settings, such as how long a particular animal lives, on average. An additional option is to have students research, explore, and compare additional populations.

Complex Systems Connection: Cause within System. Five interdisciplinary areas are covered in a series of lessons, utilizing a family of models that all generate oscillation. Oscillation in real-world systems is often considered problematic rather than a consequence of system structure. This progression of lessons will help students understand that undesirable behavior can be a consequence of system structure and not a result of outside, uncontrollable influences. In other words, a system that oscillates does so because it has an inherent tendency to do so.
  PDF

Link to the simulation: http://www.clexchange.org/curriculum/complexsystems/oscillation/Oscillation_PopulationA.asp
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