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Activity Browse

Browse this collection of activities that all incorporate teaching with data. Activities have been submitted via a number of projects.


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Phenylketonuira
Scott Cooper, University of Wisconsin-La Crosse
In this activity, students are assigned different alleles of the gene for phenylalanine hydroxylase to research using OMIM (Online Mendelian Inheritance in Man). They are then asked to both explain and illustrate how this mutation may cause the disease phenylketonuria (PKU).

Protein Evolution
Scott Cooper, University of Wisconsin-La Crosse
In this activity students explore the evolution of proteins by comparing 2D and 3D alignments of orthologs and paralogs.

Plant Pest Control
Jim Bidlack, University of Central Oklahoma
This learning experience introduces participants to scientific inquiry, hypothesis formation, experimental design, data analysis, and interpretation.

Searching Genbank
Jeff Bell, California State University-Chico
An active problem-based assignment that uses the Genbank database to teach the basics of molecular biology and molecular evolution

Influence of Outliers on Correlation
Roger Woodard, North Carolina State University
In this visualization activity, students will observe their instructor create a scatterplot and observe how the correlation coefficient changes when outlier points are added. Students are then given a follow up assignment which guides them through the applet. In addition, the assignment provides insight about outliers and their effect on correlation.

Coke vs. Pepsi Taste Test: Experiments and Inference about Cause
This lesson plan and activity are based on material from the NSF-funded AIMS Project (Garfield, delMas and Zieffler, 2007). For more information contact Joan Garfield at jbg@umn.edu
The Coke vs. Pepsi Taste Test Challenge has students design and carry out an experiment to determine whether or not students are able to correctly identify two brands of cola in a blind taste test. In the first ...

Reese's Pieces Activity: Sampling from a Population
This activity is based on an adaptation by Joan Garfield and Dani Ben-Zvi of an activity from Rossman and Chance (2000), Workshop Statistics: Discovery with Data, 2nd Edition.
This activity uses simulation to help students understand sampling variability and reason about whether a particular samples result is unusual, given a particular hypothesis. By using first candies, then a web applet, and varying sample size, students learn that larger samples give more stable and better estimates of a population parameter and develop an appreciation for factors affecting sampling variability.

Simulating Size and Power Using a 10-Sided Die
Erin Blankenship, University of Nebraska at Lincoln
This group activity illustrates the concepts of size and power of a test through simulation. Students simulate binomial data by repeatedly rolling a ten-sided die, and they use their simulated data to estimate the size of a binomial test.

Simulating the Effect of Sample Size on the Sampling Distribution of the Mean
David Lane, Rice University
A java applet that simulates the sampling distribution of the mean. It allows students to explore the effect of sample size.

Simulating a P-value for Testing a Correlation with Fathom
Robin Lock, St. Lawrence University
This activity has students use Fathom to test the correlation between attendance and ballpark capacity of major league baseball teams by taking a sample of actual data and scrambling one of the variables to see how the correlation behaves when the variables are not related. After displaying the distribution of correlations for many simulated samples, students find an approximate p-value based on the number of simulations that exceed the actual correlation.

Stream Characteristics Lab
Wendy Van Norden, harvard-westlake school
Students determine the relationship between the sinuosity of a river and its gradient by calculating gradients and sinuosity, and generating a graph on Excel. They then test the relationship by making measurements on a picture generated on Google Earth.

Using an Applet to Demonstrate Confidence Intervals
Roger Woodard, North Carolina State University
Students will utilize an applet to further expand their knowledge of confidence intervals.

Virtual Photoelectric Lab
This page authored by Terry Bradfield, based on a simulation authored by Angel Franco Garcia. The original activity (in Spanish) is located at: http://www.sc.ehu.es/sbweb/fisica/cuantica/fotoelectrico/fotoelectrico.htm
This is a virtual lab activity on the photoelectric effect based on a Java applet simulation of the experiment.

Tropical Cyclones and Global Change
Jenni Evans, Pennsylvania State University-Main Campus
This is a full semester project focusing on tropical cyclones and climate change for my undergraduate tropical meteorology class. It consists of five parts, outlined below.

Analyzing Hurricanes
Ben Laabs, SUNY College at Geneseo
The exercise uses GIS to explore historical data on hurricanes (path, strength, name). Students identify trends in hurricane records, the impact of hurricanes on major U.S. cities, and how hurricanes change through ...

Course profile: Oceans and Our Global Environment
Simon Brassell, Indiana University Entry level oceanography course, 71-150 students Information for this profile was provided by Simon Brassell in 2007. Information is also available on the course website. Jump ...

Course profile: Oceans and Our Global Environment
Simon Brassell, Indiana University Entry level oceanography course, 71-150 students Information for this profile was provided by Simon Brassell in 2007. Information is also available on the course website. Jump ...

Global Patterns
Federica Raia, The City College of New York
Based on my research on how best to enhance students' understanding of complex systems, I utilize various activities to support pattern recognition, a fundamental skill to understanding complex systems ...

Reasons for the Seasons
Jeff Thomas, Central Connecticut State University
The inquiry method and meteorological and astronomical online data can be used to elicit the inconsistencies of students' naïve ideas about the "real" reasons for the seasons. The first phase of this two-part investigation uses online meteorological data to identify factors that might explain differences of seasonal temperatures among cities These factors are used to hypothesize why differences of seasonal temperatures occur among cities. During the second phase, the variables and hypotheses that were previously identified in part one are used to design and conduct an inquiry-oriented investigation. Astronomical data is used as part of the investigation to "test" students' hypotheses— conclusions are drawn then communicated.

Arctic Climate Curriculum, Activity 3: Exploring Arctic Climate Data
Karin Kirk, Independent Educational Consultant; Anne Gold, University of Colorado at Boulder
Students dig into authentic Arctic climate data to unravel some causes and effects related to the seasonal melting of the snowpack. In particular, students learn about albedo and its relationship to snowmelt. This ...


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