Bridges come in a wide variety of sizes, shapes, and lengths and are found all over the world. It is important that bridges are strong so they are safe to cross. Design and build a your own model bridge. Test your bridge for strength using a force sensor that measures how hard you pull on your bridge. By observing a graph of the force, determine the amount of force needed to make your bridge collapse.

A zip line is a way to glide from one point to another while hanging from a cable. Design and create a zip line that is safe for a hard-boiled egg. After designing a safety egg harness, connect the harness to fishing line or wire connected between two chairs of different heights using a paper clip. Learn to improve your zip line based on data. Attach a motion sensor at the bottom of your zip line and display a graph to show how smooth a ride your egg had!

Earthquakes happen when forces in the Earth cause violent shaking of the ground. Earthquakes can be very destructive to buildings and other man-made structures. Design and build various types of buildings, then test your buildings for earthquake resistance using a shake table and a force sensor that measures how hard a force pushes or pulls your building.

There are two types of catalysis reactions: homogeneous and heterogeneous. In a homogeneous reaction, the catalyst is in the same phase as the reactants. In a heterogeneous reaction, the catalyst is in a different phase from the reactants. This activity addresses homogeneous catalysis.

Explore a NetLogo model of populations of rabbits, grass, and weeds. First, adjust the model to start with a different rabbit population size. Then adjust model variables, such as how fast the plants or weeds grow, to get more grass than weeds. Change the amount of energy the grass or weeds provide to the rabbits and the food preference. Use line graphs to monitor the effects of changes you make to the model, and determine which settings affect the proportion of grass to weeds when rabbits eat both.

Explore the concept of evaporative cooling through a hands-on experiment. Use a wet cloth and fan to model an air-conditioner and use temperature and relative humidity sensors to collect data. Then digitally plot the data using graphs in the activity. In an optional extension, make your own modifications to improve the cooler's efficiency.

The Geniverse software is being developed as part of a five-year research project funded by the National Science Foundation. Still in its early stages, a Beta version of the software is currently being piloted in six schools throughout New England. We invite you to try the current Beta version, keeping in mind that you may encounter errors or pages that are not fully functional. If you encounter any problem, it may help to refresh or reload the web page.

The development of systems and network concepts for students can begin with this highly interactive inquiry into cell phone networks. Cell phones serve as a handy knowledge base on which to develop understanding. Each cell phone represents a node, and each phone’s address book represents an edge, or the calling relationships between cell phones. Students conceptualize the entire cell phone network by drawing a graphic that depicts each cell phone in the class as a circle (node) connected by directional lines (edges) to their classmate’s cell phones in their address book. Students are queried on the shortest pathway for calling and calling pathways when selected phones are knocked out using school and classroom scenarios.

Students then use a simulation followed by Cytoscape, visually graphing software, to model and interrogate the structure and properties of the class’s cell phone network. They investigate more advanced calling relationships and perturb the network (knock out cell towers) to reexamine the adjusted network’s properties. Advanced questions about roaming, cell towers and email focus on a deeper understanding of network behavior. Both the paper and software network exercises highlight numerous properties of networks and the activities of scientists with biological networks.

Target Audience:
This is an introductory module that we recommend teaching before each of our other modules to give students a background in systems. This module can be applied easily to any content area and works best as written for students between 6th and 12th grades but can be adapted for other ages. The lessons work best when in-person with students. If you are looking for an Introduction to Systems for remote learning, please use our Systems are Everywhere module.

This NetLogo model of leaf photosynthesis shows the macroscopic outcome of the reaction.

Meiosis is the process by which gametes (eggs and sperm) are made. Gametes have only one set of chromosomes. Therefore, meiosis involves a reduction in the amount of genetic material. Each gamete has only half the chromosomes of the original germ cell. Explore meiosis with a computer model of dragons. Run meiosis, inspect the chromosomes, then choose gametes to fertilize. Predict the results of the dragon offspring and try to make a dragon without legs. Learn why all siblings do not look alike.

This initial module from the GENIQUEST project introduces the dragons and the inheritance of their traits, then delves into meiosis and its relationship to inherited traits. Students examine the effects of choosing different gametes on dragon offspring, and learn about genetic recombination by creating recombination events to generate specific offspring from two given parent dragons. Students learn about inbred strains and breed an inbred strain of dragons themselves.

In this activity, students interact with 12 models to observe emergent phenomena as molecules assemble themselves. Investigate the factors that are important to self-assembly, including shape and polarity. Try to assemble a monolayer by "pushing" the molecules to the substrate (it's not easy!). Rotate complex molecules to view their structure. Finally, create your own nanostructures by selecting molecules, adding charges to them, and observing the results of self-assembly.

In this curriculum module, students in high school life science, marine science, and/or chemistry courses act as interdisciplinary scientists and delegates to investigate how the changing carbon cycle will affect the oceans along with their integral populations.

The oceans cover 70 percent of the planet and play a critical role in regulating atmospheric carbon dioxide through the interaction of physical, chemical, and biological processes. As a result of anthropogenic activity, a doubling of the atmospheric CO2 concentration (to 760 ppm) is expected to occur by the end of this century. A quarter of the total CO2 emitted has already been absorbed by the surface oceans, changing the marine carbonate system, resulting in a decrease in pH, a change in carbonate-ion concentrations, and a change in the speciation of macro and micronutrients. The shift in the carbonate system is already drastically affecting biological processes in the oceans and is predicted to have major consequences on carbon export to the deep ocean with reverberating effects on atmospheric CO2. Put in simple terms, ocean acidification is a complex phenomenon with complex consequences. Understanding complexity and the impact of ocean acidification requires systems thinking – both in research and in education. Scientific advancement will help us better understand the problem and devise more effective solutions, but executing these solutions will require widespread public participation to mitigate this global problem.

Through these lessons, students closely model what is occurring in laboratories worldwide and at Institute for Systems Biology (ISB) through Monica Orellana’s research to analyze the effect CO2 has on ocean chemistry, ecosystems and human societies. Students experiment, analyze public data, and prepare for a mock summit to address concerns. Student groups represent key “interest groups” and design two experiments to observe the effects of CO2 on seawater pH, diatom growth, algal blooms, nutrient availability, and/or shell dissolution.

Take a breath — where does the oxygen you inhaled come from? In our changing world, will we always have enough oxygen? What is in water that supports life? What is known? How do we know what we know about our vast oceans? These are just a few of the driving questions explored in this interactive STEAM high school curriculum module.

Students in marine science, environmental science, physics, chemistry, biology, integrated science, biotechnology and/or STEAM courses can use this curriculum module in order to use real-world, big data to investigate how our “invisible forest” influences ocean and Earth systems. Students build an art project to represent their new understanding and share this with the broader community.

This 4-week set of lessons is based on the oceanographic research of Dr. Anne Thompson of Portland State University in Oregon, which focuses on the abundant ocean phytoplankton Prochlorococcus. These interdisciplinary STEAM lessons were inspired by Dr. Thompson’s lab and fieldwork as well as many beautiful visualizations of Prochlorococcus, the ocean, and Earth. Students learn about the impact and importance of Prochlorococcus as the smallest and most abundant photosynthetic organism on our planet. Through the lessons, students act as both scientists and artists as they explore where breathable oxygen comes from and consider how to communicate the importance of tiny cells to human survival.

This module is written as a phenomenon-based, Next Generation Science Standards (NGSS) three-dimensional learning unit. Each of the lessons below also has an integrated, optional Project-Based Learning component that guides students as they complete the PBL process. Students learn to model a system and also design and evaluate questions to investigate phenomena. Students ultimately learn what is in a drop of ocean water and showcase how their drop contributes to our health and the stability and dynamics of global systems.

This personalized playlist lets students have voice and choice and move at their own pace as they learn about energy types and sustainable energy. The playlist is aligned to the NGSS Science and Engineering Practice Developing and Using Models. The final project is to develop and use a model of their choice to show and explain their learning.

Many factors influence the success and survival rate of a population of living things. Explore several factors that can determine the survival of a population of sheep in this NetLogo model. Start with a model of unlimited grass available to the sheep and watch what happens to the sheep population! Next try to keep the population under control by removing sheep periodically. Change the birthrate, grass regrowth rate, and the amount of energy rabbits get from the grass to keep a stable population.

How does energy flow in and out of our atmosphere? Explore how solar and infrared radiation enters and exits the atmosphere with an interactive model. Control the amounts of carbon dioxide and clouds present in the model and learn how these factors can influence global temperature. Record results using snapshots of the model in the virtual lab notebook where you can annotate your observations.

Students will arrange themselves in planetary order and determine the distance from the sun.

Investigate what makes something soluble by exploring the effects of intermolecular attractions and what properties are necessary in a solution to overcome them. Interactive models simulate the process of dissolution, allowing you to experiment with how external factors, such as heat, can affect a substance's solubility.

The “Systems Are Everywhere” module was originally written for high school science teachers or counselors to use in any setting (in class or in extracurricular programs). However, during field-testing, we found that many elementary and middle school teachers were able to use these lessons successfully with their students. The module is made up of three lessons that serve to foster students’ understanding of systems, systems models, and systems thinking at every level of learning and across many content areas. Blended throughout the lessons are career connections that will introduce students to diverse systems thinkers in STEM, and provide context for how systems approaches are used in real life to address complex problems. The lessons and module can be used as a stand-alone set of activities or can be integrated into any course as an extension or enrichment.

The module begins with students modeling a complex system. Students will brainstorm and sketch the parts and connections of the system, then use an online tool (Loopy) to model the interactions of those parts and connections. Next, students will develop their understanding of systems thinking skills and their application for addressing problems and solutions. Then, students will apply their knowledge and skills to model a system of their choosing. Lastly, they will showcase their skills by creating a student profile and integrating their systems thinking skills into a resume.

Target Audience
This is our introductory module that we recommend teaching before each of our other modules to give students a background in systems and to help them understand the many careers available in STEM. This module can be applied easily to any content area and works best as written for students between 6th and 12th grades but can be adapted for other ages. It works very well when teaching virtually and in-person. If you are looking for an introduction to systems that can be delivered in-person with more kinesthetic activities, please see our Introduction to Systems module. The Intro to Systems module works best with 8-12 grade students, though can be used with some modifications for 6-7th graders. This Systems are Everywhere module can work well for elementary through secondary grades.