Examples


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2004 Asian Earthquake and Tsunami Disaster Project part of Examples
Students are employees of a unit of the United Nations responsible for coordinating disaster relief after a major disaster (the 2004 Asian Earthquake and Tsunami) occurs. The agency needs to understand the situation in each country so that it can coordinate the work of various governments and NGO (nongovernmental organizations) working in the affected area.

Subject: Environmental Science:Natural Hazards:Earthquakes, Geoscience:Oceanography, Oceanography:Marine Hazards, Geoscience:Geology, Environmental Science:Natural Hazards:Coastal Hazards:Tsunami
On the Cutting Edge Exemplary Collection This activity is part of the On the Cutting Edge Exemplary Teaching Activities collection.
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Determining the Geologic History of Rocks from a Gravel Deposit part of Examples
Gravels deposited as a result of continental glaciation are used to teach introductory-level earth-science students the application of the scientific method in a cooperative learning mode which utilizes hands-on, minds-on analyses. Processes that involve erosion, transportation, and deposition of pebble- and cobble-sized clasts are considered by students in formulating and testing hypotheses.

Subject: Geoscience:Geology:Mineralogy, Igneous and Metamorphic Petrology
On the Cutting Edge Exemplary Collection This activity is part of the On the Cutting Edge Exemplary Teaching Activities collection.
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Problem-Based Learning: UV Menace part of Examples
Students work as a team to determine the causes, effects, and solutions to ozone depletion. They work out what they need to know, and split the team up to research different parts of the issue.

Subject: Geoscience:Atmospheric Science:Meteorology:Atmospheric structure and composition, Environmental Science:Global Change and Climate:Ozone depletion

Economies of scale part of Examples
Working in groups of three, students analyze economies of scale. Each student constructs an individual short-run ATC curve, then the three students collaborate to determine if there are economies or diseconomies of scale and to create the long run ATC.

Subject: Economics, Micro

Counting GDP part of Examples
Working in small groups, students determine how 18 items are included in GDP (or if they are excluded.) Cards turned over one at a time encourage participation by all group members.

Subject: Economics, Macro

Impact of federal deficits part of Examples
Based on a fable about government debt, students identify the relevance of crowding out, monetizing a debt, external debt, and stimulus spending.

Subject: Economics, Macro policy

Nature of the chi-square distribution part of Examples
Explaining the chi-square and F distributions in terms of the behavior of variables constructed by generating random samples of normal variates and summing the sqaures of the values.

Subject: Mathematics, Statistics:Statistical Inference and Techniques:Sampling Distributions, Mathematics:Statistics:Statistical Inference and Techniques, Mathematics:Statistics

Statistics and Error Rates in Death Penalty Cases part of Examples

Subject: Mathematics:Statistics:Probability, Mathematics:Statistics, Statistics:Statistical Inference and Techniques, Mathematics

How well can hand size predict height? part of Examples
This activity is deigned to introduce the concepts of bivariate relationships. It is one of the hands-on activities of the 'real-time online hands-on activities'. Students collect their own data, enter and retrieve the data in real time. Data are stored in the web database and are shared on the net.

Subject: Mathematics:Statistics:Data Presentation, Probability:Multivariate Distributions, Mathematics:Statistics:Probability, Mathematics:Statistics, Statistics:Data Presentation:Multivariate Quantitative Relationships, Mathematics

Histogram Sorting Using Cooperative Learning part of Examples
Intended as an early lesson in an introductory statistics course, this lesson uses cooperative learning methods to introduce distributions. Students develop awareness of the different versions of particular shapes (e.g., different types of skewed distributions, or different types of normal distributions), and that there is a difference between models (normal, uniform) and characteristics (skewness, symmetry, etc.).

Subject: Mathematics, Statistics:Data Presentation, Mathematics:Statistics