Day 21: A Buggy Lab Warm Up Question

Tuesday, October 2, 2018

So after running the buggy lab yesterday, I knew we needed to check in on what the students understood. The following warm up question worked great:

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Note: tick refers to a metronome.

I’d guess 80% of the students got the 9th position of the buggy correct and were able to reasonably describe how they found an average ∆x from the provided data.

Below are a couple of the more elegant solutions. Here’s a pretty textbook solution:

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Smart approach to find x9 from x6:

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Day 20: Buggy Lab

Monday, October 1, 2018

Today, students ran the constant velocity buggies across the classroom to collect position and time data.

  • The metronome in the background is running at 40 ticks per minute. It was our intent to run the metronome at two different rates but we ran out of time in the 45 minute class period.
  • Our giant tape measures were clutch — automatically earning us non-zero starting positions AND half the cars in the room ran in the negative direction.

 

Day 19: First Functions in Computational Modeling

Friday, September 29, 2018

This year, my team and I are teaching Physics 1 (9th grade) through Computational Modeling. This curriculum uses Pyret, a language developed in part to help students learn math and science.

Today, we asked the students to think concretely about a square’s perimeter.

One kid asked why we’re learning to code. Clearly I hadn’t answered this question adequately the last few times, so I showed a computational model from next week that models a buggy moving at constant velocity. It’s familiar and they can see where their work is headed.

So, back to the square, I asked:

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Then we wrote a Pyret function to find the perimeter of a square. Students worked off a Design Recipe on paper before going for the computer.

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With everyone computing some solid perimeters, we turned our attention to finding the area of a square. I assigned writing functions to find the perimeter of a rectangle and the area of a rectangle for homework.

Day 11: First Robotics Project

Friday, September 21, 2018

The robotics class consists of nine students in grades 11 and 12. A few have prior programming experience and none have robotics experience. This week, I asked them to make their robot autonomously drive around a square. Success looked a little different around the room but for everyone, this project highlighted the downside of navigation-by-dead-reckoning.

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One student, struggling with repeatability on the dusty floors said she’d love to be able to trace out where the robot had been. We taped a marker to her robot and voilá, we had a spirograph. Based on this, I’d say her robot was repeatable but under-turning.

Problems they experienced:

  • over time, the wheels picked up dirt from the floor and began to slip
  • turns that are slightly off the 90° ideal have compounding error
  • the front caster wheel doesn’t turn consistently

We had a blast watching each robot run around the square. Here’s a supercut of the robots performing their task (stick around for the end with the whiteboard marker robot):

Next up, we’ll learn to install an ultrasonic sensor and the course will get walls to aid in navigation.

Day 10: New (to me) Whiteboarding Mode

Thursday, September 20, 2018

When we ran out of time last class, I had students put their whiteboards away for us to review today. We’ve done a bunch of whole class board meetings where each group presents their board in turn. It was getting old. But I still wanted an efficient way for students to get and give feedback. That prompted me to modify the gallery walk format. I’ll definitely use this one again.

Biggest advantage: student whiteboards have to stand on their own without students explaining themselves.

This modified gallery walk works well late in a unit when students are basically deploying a complete model. It’s helpful that they basically understand how to do the problems and are merely doing practice.

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Students studying another group’s whiteboard that illustrates energy flow for a mass on a spring.

In the picture above, these students are visiting another group’s whiteboard. They’re leaving feedback for the original board’s authors. Every few minutes, the groups rotate to the next whiteboard. Students were great at identifying something that needed addressing in the original work — missing energy storage modes, trends in ∆E that don’t match the scenario, and system boundary inconsistencies are some of the most common.

Later, the group who produced these diagrams revisited their board and took in the feedback. It was cool seeing the original group decide if the feedback they got was good, bad, or indifferent. For instance, the picture below shows a group responding to an incorrect conception from their classmates:

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The entire class looks at feedback on one whiteboard.

The student holding the whiteboard is explaining how the commenter was forgetting that the air puck has a battery in it, therefore the puck has some amount of chemical energy stored. The commenter was only thinking of the chemical energy inside the body of the kicker, which is outside the system boundary. As soon as the commenter was reminded of the battery, I heard a number of students go “ohhhhh.”

As a first-year Modeling Instruction teacher, I’m struck by two observations about whiteboarding:

  • Variety is important so that students don’t tire (and get less out of) specific whiteboarding modes.
  • 9th graders can get fidgety with standing to display whiteboards. That wiggling makes it tough to observe. Now I see why so many of you are using whiteboard stands.

How do experienced whiteboarders keep board presentations from getting so repetitive? The whole class board meeting has kids tuning out or fidgeting while waving a whiteboard around — all while a great debate is happening between a few students over some detail on a board.

Day 9: The Same Problem, Solved Differently

Wednesday, September 19, 2018

Students put a scenario on the whiteboards, then posted them up front once we agreed on the content. In the interest of emphasizing energy flow AND systems with energy coming in from the surroundings, I redefined system boundaries and re-diagrammed the same scenarios above. The picture below shows three problems we worked on during class:

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After students diagrammed scenarios, we agreed the student-produced boards were correct. I then showed how shifting the system boundary could change the energy analysis.

To check their ability to manage the flow of energy into or out of a system, I gave them the following problem:

I throw a tennis ball into the air. States are defined as drawn on the whiteboard. Draw LOLOL diagrams (that’s a 3-state LOL diagram) to show the energy shifts throughout. But let’s make it interesting — half the room should include me in the system and half should leave me, the thrower, out of the system.

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Another practice scenario — me throwing a ball into the air. Two student-produced boards — one of which leaves me out of the system.

 

Day 5: Three Representations

Thursday, September 13

A mass on a spring is pulled down and released, and allowed to oscillate. Student whiteboarded all three representations they now now: system schema, state diagrams, and energy bar charts.

Groups got done at different times, so I pivoted from my original idea for a classwide board meeting. Instead, I put two groups together and asked them to come up with a question for me out of their discussion.

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As new bar charters, the students worked to balance several requirements at once: decide which energy storage modes are relevant to the problem; that the total energy in the system has to remain constant throughout all three states; and that the total energy in the system must equal the sum of the amount of energy stored in each of the relevant modes. 20180913_103700

Our first quiz is tomorrow (Friday).