Showing posts with label Graphing. Show all posts
Showing posts with label Graphing. Show all posts

Monday, February 24, 2014

NetLogo - Technology and Models

For the past week we have been learning about Ecology.  I have a number of old resources that I have been asked to use in the classroom.  With the recent talk of NGSS and STEM I was looking for ways to integrate some sort of meaningful technology into the classroom.

As I was poking through several videos on the Bozeman Science website, Paul Anderson briefly mentioned NetLogo as resource he uses in his classroom.  NetLogo is a piece of software that creates computer models of all sorts of scientific or statistical situations.  The software helps model everything from basic traffic patterns to game theory.  I found a model that helps visualize relationships between predator and prey and I was able to use it in class with great success.

The need in the classroom:
  1. To quickly visualize the relationship between predator and prey over generations.
  2. To quickly visualize the results of messing with the balance of predator/prey relationships.
  3. To visualize and analyze the results of the corresponding data.
Gathering this type of data to has been a lengthy process in the past.  It ends up usually being too general or too painstakingly lengthy to make the exercise meaningful.  And, generating data where one of the variables changed is hypothetical and equally time-consuming.  NetLogo provided a way to quickly generate data for the situations we were looking at.

The Old Way.  *sigh*


Downloading and installing NetLogo was pretty simple.  It's a Java based program so it can be installed almost anywhere and I was impressed that it ran so smoothly on my lightweight laptop.

Here's a screenshot of the Wolf Sheep Predation model.

Shiny!



Now, here's what I'm most excited about.  The model produced data that really helped scaffold good questions.  The students were interested in the modeling and were mostly impressed at how fast data could be generated.  The data allowed me to assess the students' understanding of the principles we've been talking about in the last 4 class periods.

In each class we ran a basic simulation and we talked about the ebb and flow of both predator and prey but we were also able to play with the variables.  In one instance we had a situation where the number of sheep dipped too low and the wolves went extinct within our digital biome.  I got a reaction from a lot of the students!  I was surprised and very excited at the empathy!
After the demonstration we moved on to other classwork, but I continued to get questions about the predator/prey relationships, what-if questions, and questions about running the software themselves.  For a small investment of classroom time and an hour of my personal time I got quite a satisfying result.

Monday, January 27, 2014

Crabby Graphs

A lot has happened since my days in science class.  Even in college, we used peppered moths as the example of natural selection.  Peppered moths have been hammered into our minds.  I rather like our peppered moth friends, but it's also nice to mix things up.

Enter pocket mice and freshwater crabs.  Like the peppered moths, both pocket mice and freshwater crabs demonstrate natural selection in their coloration.  Last week, we used pocket mice as the last activity to solidify the concepts of natural selection; this week we will add data to the concept of natural selection as we look at populations of freshwater crabs.

Today's activity will revolve around specific types of selection in relation to environmental changes of freshwater crabs.  We will cover directional selection, disruptive selection, and stabilizing selection.  Towards the end of the period the students will be looking at data and will be graphing  phenotype frequencies (light to dark coloration) to determine the type of selection in a specific scenario.

Today's Goal:  Students will understand the concepts of directional selection, disruptive selection, and stabilizing selection.  Given phenotype frequency over time, students will be able to graph data and determine the type of selection for a given scenario.

Here's a shot of the whiteboard: