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Results 61 - 80 of 2712 matches
Using Mass Balance to Understand Atmospheric CFCs part of Pedagogy in Action:Library:Teaching with Data:Examples
Students use an interactive online mass balance model help understand the observed levels of chlorofluorocarbon CFC-12 over the recent past.
Protein Evolution part of Pedagogy in Action:Library:Teaching with Data:Examples
In this activity students explore the evolution of proteins by comparing 2D and 3D alignments of orthologs and paralogs.
Long Term Ecological Resources part of Pedagogy in Action:Library:Teaching with Data:Examples
Students analyze data on temperature and precipitation collected from 26 different Long Term Ecological Research sites and compare them with annual net primary productivity. The students then form an ecological rule to explain their results.
Phenylketonuira part of Pedagogy in Action:Library:Teaching with Data:Examples
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).
Writing a Wikipedia Genetic Disease Article part of Pedagogy in Action:Library:Teaching with Data:Examples
Writing a Wikipedia article about a genetic disease is a good culminating activity for a genetics course or module, as it requires synthesizing and interpreting a wide range of genetic information. This assignment also includes a potential service component, which is normally very difficult in genetics.
Monohybrid Fruit Fly Crosses: A Simulation part of Pedagogy in Action:Library:Teaching with Data:Examples
This assignment uses a computer simulation of fruit fly genetics to have students design and interpret monohybrid crosses of a trait with simple dominant and recessive alleles. Detailed instructions with animated examples, background material, a sample report and a rubric are included.
Searching Genbank part of Pedagogy in Action:Library:Teaching with Data:Examples
An active problem-based assignment that uses the Genbank database to teach the basics of molecular biology and molecular evolution
Plant Pest Control part of Pedagogy in Action:Library:Teaching with Data:Examples
This learning experience introduces participants to scientific inquiry, hypothesis formation, experimental design, data analysis, and interpretation.
Problem-Based Learning: UV Menace part of Pedagogy in Action:Library:Cooperative Learning: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.
Mathematics and Statistics Models part of Pedagogy in Action:Library:Mathematical and Statistical Models
Developed by Bob MacKay, Clark College. What are Mathematical and Statistical Models These types of models are obviously related, but there are also real differences between them. Mathematical Models: grow out of ...
Energy Balance Climate Model: Stella Mac and PC part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
Students explore a Global Energy Balance Climate Model Using Stella II. Response of surface temperature to variations in solar input, atmospheric and surface albedo, atmospheric water vapor and carbon dioxide, volcanic eruptions, and mixed layer ocean depth. Climate feedbacks such as water vapor or ice-albedo can be turned on or off.
Waves Through Earth: Interactive Online Mac and PC part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
Students vary the seismic P and S wave velocity through each of four concentric regions of Earth and match "data" for travel times vs. angular distance around Earth's surface from the source to detector.
Daisyworld: Stella Mac or PC part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
After constructing a Stella model of Daisyworld students perform guided experiments to explore the behavior of Daisyworld to changes in model parameters and assumptions.
Daisyworld: Interactive On-line PC and Mac part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
Students use a JAVA interface design by R.M. MacKay to explore the Daisy World model. The JAVA interface comes with a link to a 6-page student activity page in PDF format.
Mass Balance Model part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
Students are introduced to the concept of mass balance, flow rates, and equilibrium using an online interactive water bucket model.
World Population Activity II: Excel part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
(Activity 2 of 2)In this intermediate Excel tutorial students import UNEP World population data/projections, graph this data, and then compare it to the mathematical model of logistic growth.
World Population Activity I: Excel part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
(Activity 1 of 2) This activity is primarily intended as an introductory tutorial on using Excel. Students use Excel to explore population dynamics using the Logistic equation for (S-shaped) population growth.
Wind Surge: Interactive On-line Mac and PC part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
Wind surge is a JAVA based applet for exploring how water level on the windward and leeward side of a basin depends on wind speed, basin length, water depth, and boundary type.
Trace Gases: Stella II Mac and PC part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
This Stella model allows students to learn about chemical mass balance in the atmosphere and apply this to atmospheric chlorofluorocarbon and carbon dioxide concentrations.
Sea Floor Spreading I part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples
In this introductory Excel tutorial (Activity I) students use Excel to explore the geodynamics model equation for ocean depth around a sea-floor spreading center. For students with no prior Excel experience.