This demonstration uses an "earthquake machine" constructed from bricks, sand paper, and a winch, to simulate the buildup of elastic strain energy prior to a seismic event and the release of that energy during an earthquake.

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Students will make "earthquakes" using a simple model, the earthquake machine. It is patterned on the EQ machine described by Ross Stein, Michelle Hall-Wallace, and others. References are given below. We have added force and distance sensors to the machine, and linked them (via GOLINKS) to new new software, that allows students to graph and analyze their data. All SW will be freely available. Students will evaluate the hypothesis that although earthquake patterns can be observed, the exact time and size of an earthquake cannot be predicted. Students then apply these insights to predicting earthquakes on the San Andreas fault, and estimating the magnitude of earthquakes on ancient faults in the region.

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Students are expected to complete readings related to the mechanics of earthquakes (most don't do it). This activity allows them to apply the rules and extend their knowledge by making predictions.

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This video segment adapted from NOVA tells the tragic story of two Japanese seismologists who disagreed about the threat of earthquakes in the early twentieth century. Today, seismologists in California offer residents a probability of risk that an earthquake might occur.

Students learn how engineers construct buildings to withstand damage from earthquakes by building their own structures with toothpicks and marshmallows. Students test how earthquake-proof their buildings are by testing them on an earthquake simulated in a pan of Jell-O(TM).

Students learn about factors that engineers take into consideration when designing buildings for earthquake-prone regions. Using online resources and simulations available through the Earthquakes Living Lab, students explore the consequences of subsurface ground type and building height on seismic destruction. Working in pairs, students think like engineers to apply what they have learned to sketches of their own building designs intended to withstand strong-magnitude earthquakes. A worksheet serves as a student guide for the activity.

Students learn how engineers characterize earthquakes through seismic data. Then, acting as engineers, they use real-world seismograph data and a tutorial/simulation accessed through the Earthquakes Living Lab to locate earthquake epicenters via triangulation and determine earthquake magnitudes. Student pairs examine seismic waves, S waves and P waves recorded on seismograms, measuring the key S-P interval. Students then determine the maximum S wave amplitudes in order to determine earthquake magnitude, a measure of the amount of energy released. Students consider how engineers might use and implement seismic data in their design work. A worksheet serves as a student guide for the activity.

Students study how geology relates to the frequency of large-magnitude earthquakes in Japan. Using the online resources provided through the Earthquakes Living Lab, students investigate reasons why large earthquakes occur in this region, drawing conclusions from tectonic plate structures and the locations of fault lines. Working in pairs, students explore the 1995 Kobe earthquake, why it happened and the destruction it caused. Students also think like engineers to predict where other earthquakes are likely to occur and what precautions might be taken. A worksheet serves as a student guide for the activity.

Students examine the effects of geology on earthquake magnitudes and how engineers anticipate and prepare for these effects. Using information provided through the Earthquakes Living Lab interface, students investigate how geology, specifically soil type, can amplify the magnitude of earthquakes and their consequences. Students look in-depth at the historical 1906 San Francisco earthquake and its destruction thorough photographs and data. They compare the 1906 California earthquake to another historical earthquake in Kobe, Japan, looking at the geological differences and impacts in the two regions, and learning how engineers, geologists and seismologists work to predict earthquakes and minimize calamity. A worksheet serves as a student guide for the activity.

Students use U.S. Geological Survey (USGS) real-time, real-world seismic data from around the planet to identify where earthquakes occur and look for trends in earthquake activity. They explore where and why earthquakes occur, learning about faults and how they influence earthquakes. Looking at the interactive maps and the data, students use Microsoft® Excel® to conduct detailed analysis of the most-recent 25 earthquakes; they calculate mean, median, mode of the data set, as well as identify the minimum and maximum magnitudes. Students compare their predictions with the physical data, and look for trends to and patterns in the data. A worksheet serves as a student guide for the activity.

In this video segment adapted from NOVA, a geologist digs a trench along the San Andreas Fault to reveal three thousand years of earthquake history. Information from the layers of sediment may help geologists to predict earthquakes.

This activity uses the free software 'Seismic Eruption' to visualize seismicity and volcanic activity in space and time and to explore the relationship of earthquakes and volcanic activiy to plate tectonics. Students run simulations on the Pacific coasts of South America and California and the mid-oceanic ridge in the Atlantic Ocean, answer questions, and construct a cross-section. A link to download the software is provided.

Students will learn how engineers construct buildings to withstand damage from earthquakes by building their own structures with toothpicks and marshmallows. Students test how earthquake-proof their buildings are through an earthquake simulation using a pan of Jell-O. This lesson was adapted from Teach Engineering . This lesson results from a collaboration between the Alabama State Department of Education and ASTA.

Hands-on laboratory activity that allows students to investigate the effects of distance and angle on the input of solar radiation at Earth's surface, the role played by albedo, the heat capacity of land and water, and how these cause the seasons. Students predict radiative heating based on simple geometry and experiment to test their hypotheses.

This course provides a review of physical, chemical, ecological, and economic principles used to examine interactions between humans and the natural environment. Mass balance concepts are applied to ecology, chemical kinetics, hydrology, and transportation; energy balance concepts are applied to building design, ecology, and climate change; and economic and life cycle concepts are applied to resource evaluation and engineering design. Numerical models are used to integrate concepts and to assess environmental impacts of human activities. Problem sets involve development of MATLAB® models for particular engineering applications. Some experience with computer programming is helpful but not essential.

This course provides a review of physical, chemical, ecological, and economic principles used to examine interactions between humans and the natural environment. Mass balance concepts are applied to ecology, chemical kinetics, hydrology, and transportation; energy balance concepts are applied to building design, ecology, and climate change; and economic and life cycle concepts are applied to resource evaluation and engineering design. Numerical models are used to integrate concepts and to assess environmental impacts of human activities. Problem sets involve development of MATLABĺ¨ models for particular engineering applications. Some experience with computer programming is helpful but not essential.

This site contains 21 modular, easy to use economic models, that are appropriate for class assignments or in-class demonstrations. Students can simulate all the standard models taught in most economics courses. EconModel uses the Windows OS. The simulations were developed by William R. Parke of the University of North Carolina at Chapel Hill.

This website is an interactive educational application developed to simulate and visualize various statistical concepts:

Law of Large Numbers
Central Limit Theorem
Confidence Intervals
Hypothesis Testing
ANOVA
Joint Distributions
Least Squares
Sample Distribution of OLS Estimators
The OLS Estimators are Consistent
Omitted Variable Bias
Multiple Regression

Project of Professor Tanya Byker and Professor Amanda Gregg at Middlebury College, with research assistants Kevin Serrao, Class of 2018, Dylan Mortimer, Class of 2019, Ammar Almahdy, Class of 2020, Jacqueline Palacios, Class of 2020, Siyuan Niu, Class of 2021, David Gikoshvili, Class of 2021, and Ethan Saxenian, Class of 2022.

In both macroeconomics and microeconomics principles courses, economists teach the virtue of markets as an allocative mechanism. But markets sometimes fail. This example allows students to simulate the market failure associated with a common property resource, a salmon fishery, and evaluate ways to control fishing. The simulation also shows the distributional results of different allocative mechanisms. The simulation was developed by Paul Romer at Stanford University and is available on the Aplia web site.

Economics for Leaders (EFL) is designed to introduce young individuals to an economic way of thinking about national and international issues, and to promote excellence in economic education by helping teachers of economics become more effective educators. The curriculum materials, including background outlines for teachers and classroom-ready simulations and activities to engage students, support the teaching of critical thinking skills by equipping students with the tools of the economic reasoning. Five economic reasoning propositions for the foundation for teaching and learning the economic way of thinking.