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## Teaching with Models

29 matches# Research on Learning

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US Historical Climate: Excel Statistical part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples

Students import US Historical Climate Network mean temperature data into Excel from a station of their choice and use Excel for statistical calculations, graphing, and linear trend estimates.

Vostok Ice Core: Excel (Mac or PC) part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples

Students use Excel to graph and analyze Vostok ice core data (160,000 years of Ice core data from Vostok Station). Data includes ice age, ice depth, carbon dioxide, methane, dust, and deuterium isotope relative abundance.

Evolution, Natural Selection and Speciation part of Pedagogy in Action:Library:Conceptual Models:Examples

In this out of class tutorial, students explore several examples of natural selection and speciation.

Translation simulation part of Pedagogy in Action:Library:Conceptual Models:Examples

This module introduces students to the basics behind translation of a messenger RNA sequence into protein. In addition to text and movies, there are interactive shockwave animations that allow students to move ribosomes and tRNAs to perform translation.

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 ...

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.

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.

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.

Sea Floor Spreading II part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples

Students import ocean bathymetry data from text files, they then use Excel to graph these observations along with model prediction to assess the model's ability to simulated the observed topographic features of the North Atlantic.

Human Demographics part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples

In this biology simulation students explore factors that change human population growth including age at which women begin to bear children, fertility rate and death rate.

Genetic Drift part of Pedagogy in Action:Library:Mathematical and Statistical Models:Examples

In this biology simulation, students use a mathematical simulation of genetic drift to answer questions about the factors that influence this evolutionary process. Students run a series of simulations varying allele frequency and population size and then analyze their data and propose a model to explain their results.

Medicine in the Body part of Pedagogy in Action:Library:Teaching with Spreadsheets:Examples

In this activity, we will explore how the dosage and frequency of a medicine taken affect the amount of medicine present in the blood.

What Are Conceptual Models? part of Pedagogy in Action:Library:Conceptual Models

Created by Bob MacKay, Clark College People receive information, process this information, and respond accordingly many times each day. This sort of processing of information is essentially a conceptual model (or ...